# EMNLP-2019-Papers **Repository Path**: mirrors_roomylee/EMNLP-2019-Papers ## Basic Information - **Project Name**: EMNLP-2019-Papers - **Description**: Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2022-01-11 - **Last Updated**: 2025-09-28 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README **[2020-11-01] This repository is merged into [nlp-papers-with-arxiv](https://github.com/roomylee/nlp-papers-with-arxiv)** # EMNLP-IJCNLP 2019 Papers Statistics and Accepted paper list with [arXiv](https://arxiv.org/) link of [EMNLP-IJCNLP 2019](https://www.emnlp-ijcnlp2019.org/), inspired by Hoseong's [ICCV-2019-Paper-Statistics](https://github.com/hoya012/ICCV-2019-Paper-Statistics). **Contributing**: Please feel free to make *[pull requests](https://github.com/roomylee/EMNLP-2019-Papers/pulls)*. ![wordcloud](figure/wordcloud.png) ## EMNLP 2019 Acceptance Rate ![rate](figure/rate.png) ## EMNLP 2019 Paper Keywords ![stat](figure/stat.png) ## Accepted Papers with arXiv Link ### Index * [Oral Session](#oral-session) * [Machine Learning](#machine-learning) * [Lexical Semantics](#lexical-semantics) * [Dialog and Interactive Systems](#dialog-and-interactive-systems) * [Sentiment Analysis and Argument Mining](#sentiment-analysis-and-argument-mining) * [Summarization and Generation](#summarization-and-generation) * [Sentence-level Semantics](#sentence-level-semantics) * [Speech, Vision, Robotics, Multimodal and Grounding](#speech-vision-robotics-multimodal-and-grounding) * [Information Extraction](#information-extraction) * [Semantics](#semantics) * [Discourse, Summarization, and Generation](#discourse-summarization-and-generation) * [Text Mining and NLP Application](#text-mining-and-nlp-application) * [Neural Machine Translation](#neural-machine-translation) * [Question Answering](#question-answering) * [Social Media and Computational Social Science](#social-media-and-computational-social-science) * [Discourse and Pragmatics](#discourse-and-pragmatics) * [Tagging, Chunking, Syntax and Parsing](#tagging-chunking-syntax-and-parsing) * [Machine Translation and Multilinguality](#machine-translation-and-multilinguality) * [Reasoning and Question Answering](#reasoning-and-question-answering) * [Generation](#generation) * [Summarization](#summarization) * [Information Retrieval and Document Analysis](#information-retrieval-and-document-analysis) * [Reasoning](#reasoning) * [Syntax, Parsing, and Linguistic Theories](#syntax-parsing-and-linguistic-theories) * [Sentiment and social media](#sentiment-and-social-media) * [Phonology, Word Segmentation, and Parsing](#phonology-word-segmentation-and-parsing) * [Poster & Demo Session](#poster-demo-session) * [Information Extraction, Information Retrieval and Document Analysis, Linguistic Theories](#information-extraction-information-retrieval-and-document-analysis-linguistic-theories) * [Machine Translation and Mulitilinguality, Phonology, Morphology and Word Segmentation, Tagging, Chunking, Syntax and Parsing](#machine-translation-and-mulitilinguality-phonology-morphology-and-word-segmentation-tagging-chunking-syntax-and-parsing) * [Dialog and Interactive Systems, Machine Translation and Multilinuality, Phonology, Morphology, and Word Segmentation, Speech, Vision, Robotics, Multimodal and Grounding, Tagging, Chunking, Syntax and Parsing](#dialog-and-interactive-systems-machine-translation-and-multilinuality-phonology-morphology-and-word-segmentation-speech-vision-robotics-multimodal-and-grounding-tagging-chunking-syntax-and-parsing) * [Dialog and Interactive Systems, Speech, Vision, Robotics, Multimodal and Grounding](#dialog-and-interactive-systems-speech-vision-robotics-multimodal-and-grounding) * [Question Answering, Textual Inference and Other Areas of Semantics](#question-answering-textual-inference-and-other-areas-of-semantics) * [Discourse and Pragmatics, Summarization and Generation](#discourse-and-pragmatics-summarization-and-generation) * [Information Retrieval and Document Analysis, Lexical Semantics, Sentence-level Semantics, Machine Learning](#information-retrieval-and-document-analysis-lexical-semantics-sentence-level-semantics-machine-learning) * [Machine Learning](#machine-learning-1) * [Social Media and Computational Social Science, Text Mining and NLP Applications](#social-media-and-computational-social-science-text-mining-and-nlp-applications) * [Sentiment Analysis and Argument Mining, Lexical Semantics, Sentence-level Semantics](#sentiment-analysis-and-argument-mining-lexical-semantics-sentence-level-semantics) * [Discourse and Pragmatics, Linguistic Theories, Textual Inference, Question Answering, Summarization and Generation](#discourse-and-pragmatics-linguistic-theories-textual-inference-question-answering-summarization-and-generation) * [Information Extraction, Text Mining and NLP Applications, Social Media and Computational Social Science, Sentiment Analysis and Argument Mining](#information-extraction-text-mining-and-nlp-applications-social-media-and-computational-social-science-sentiment-analysis-and-argument-mining) ### Oral Session #### Machine Learning - Attending to Future Tokens for Bidirectional Sequence Generation (#1443) [[arXiv]](https://arxiv.org/abs/1908.05915) - Attention is Not Not Explanation (#526) [[arXiv]](https://arxiv.org/abs/1908.04626) - Practical Obstacles to Deploying Active Learning (#1176) [[arXiv]](https://arxiv.org/abs/1807.04801) - Transfer Learning Between Related Tasks Using Expected Label Proportions (#1207) [[arXiv]](https://arxiv.org/abs/1909.00430) - Insertion-based Decoding with automatically Inferred Generation Order (#TACL-1732) [[arXiv]](https://arxiv.org/abs/1902.01370) - Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets (#1092) [[arXiv]](https://arxiv.org/abs/1908.07898) - Robust Text Classifier on Test-Time Budgets (#1128) [[arXiv]](https://arxiv.org/abs/1808.08270) - Commonsense Knowledge Mining from Pretrained Models (#3289) [[arXiv]](https://arxiv.org/abs/1909.00505) - RNN Architecture Learning with Sparse Regularization (#3428) [[arXiv]](https://arxiv.org/abs/1909.03011) - Universal Trigger Sequences for Attacking and Analyzing NLP (#1515) [[arXiv]](https://arxiv.org/abs/1908.07125) - To Annotate or Not? Unsupervised Prediction of Performance Drop due to Domain Shift (#2756) - Adaptively Sparse Transformers (#2900) [[arXiv]](https://arxiv.org/abs/1909.00015) - Show Your Work: Improved Reporting of Experimental Results (#3277) [[arXiv]](https://arxiv.org/abs/1909.03004) - A Deep Factorization of Style and Structure in Fonts (#3999) [[arXiv]](https://arxiv.org/abs/1910.00748) [Back to Top](#index) #### Lexical Semantics - Knowledge Enhanced Contextual Word Representations (#3403) [[arXiv]](https://arxiv.org/abs/1909.04164) - How Contextual are Contextualized Word Representations? (#208) - Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings (#783) - On Correlations between Word Vector Sets (#3976) [[arXiv]](https://arxiv.org/abs/1910.02902) - Game Theory Meets Embeddings: a Unified Framework for Word Sense Disambiguation (#1724) - Cross-lingual Semantic Specialization via Lexical Relation Induction (#1735) - Modelling the interplay of metaphor and emotion through multitask learning (#2670) - How well do NLI models capture verb veridicality? (#3460) - Modeling Color Terminology Across Thousands of Languages (#3515) [[arXiv]](https://arxiv.org/abs/1910.01531) - Negative Focus Detection via Contextual Attention Mechanisms (#1314) - Exploring Human Gender Stereotypes with Word Association Test (#1912) - Still a Pain in the Neck: Evaluating Text Representations on Lexical Composition (#TACL-1729) [[arXiv]](https://arxiv.org/abs/1902.10618) - Where''s My Head? Definition, Dataset and Models for Numeric Fused-Heads Identification and Resolution (#TACL-1648) [[arXiv]](https://arxiv.org/abs/1905.10886) [Back to Top](#index) #### Dialog and Interactive Systems - Guided Dialog Policy Learning: Reward Estimation for Multi-Domain Task-Oriented Dialog (#166) [[arXiv]](https://arxiv.org/abs/1908.10719) - Multi-hop Selector Network for Multi-turn Response Selection in Retrieval-based Chatbots (#554) - MoEL: Mixture of Empathetic Listeners (#1053) [[arXiv]](https://arxiv.org/abs/1908.07687) - Entity-Consistent End-to-end Task-Oriented Dialogue System with KB Retriever (#2430) [[arXiv]](https://arxiv.org/abs/1909.06762) - Building Task-Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation (#3756) [[arXiv]](https://arxiv.org/abs/1909.05365) - TaskMaster Dialog Corpus: Toward a Realistic and Diverse Dataset (#510) - MultiDoGO: Multi-Domain Goal-Oriented Dialogues (#1564) - Build it Break it Fix it for Dialogue Safety: Robustness from Adversarial Human Attack (#1186) [[arXiv]](https://arxiv.org/abs/1908.06083) - GECOR: An End-to-End Generative Ellipsis and Co-reference Resolution Model for Task-Oriented Dialogue (#1853) [[arXiv]](https://arxiv.org/abs/1909.12086) - Task-Oriented Conversation Generation Using Heterogeneous Memory Networks (#496) [[arXiv]](https://arxiv.org/abs/1909.11287) [Back to Top](#index) #### Sentiment Analysis and Argument Mining - DialogueGCN: A Graph-based Network for Emotion Recognition in Conversation (#2092) [[arXiv]](http://arxiv.org/abs/1908.11540) - Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations (#1814) [[arXiv]](https://arxiv.org/abs/1909.10681) - Interpretable Relevant Emotion Ranking with Event-Driven Attention (#3544) - Justifying Recommendations using Distantly-Labeled Reviews and Fined-Grained Aspects (#518) - Using Customer Service Dialogues for Satisfaction Analysis with Context-Assisted Multiple Instance Learning (#204) - What Gets Echoed? Understanding the “Pointers” in Explanations of Persuasive Arguments (#2089) - Modeling Frames in Argumentation (#2267) - AMPERSAND: Argument Mining for PERSuAsive oNline Discussions (#3321) - Evaluating adversarial attacks against multiple fact verification systems (#427) - Nonsense!: Quality Control via Two-Step Reason Selection for Annotating Local Acceptability and Related Attributes in News Editorials (#564) - On the Importance of Delexicalization for Fact Verification (#2984) [[arXiv]](https://arxiv.org/abs/1909.09868) - Towards Debiasing Fact Verification Models (#3338) [[arXiv]](https://arxiv.org/abs/1908.05267) - Recognizing Conflict Opinions in Aspect-level Sentiment Classification with Dual Attention Networks (#911) - Investigating Dynamic Routing in Tree-Structured LSTM for Sentiment Analysis (#1395) - Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks (#381) [[arXiv]](https://arxiv.org/abs/1909.03477) - Coupling Global and Local Context for Unsupervised Aspect Extraction (#1988) - Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (#65) - CAN: Constrained Attention Networks for Multi-Aspect Sentiment Analysis (#1995) [[arXiv]](https://arxiv.org/abs/1812.10735) - Leveraging Just a Few Keywords for Fine-Grained Aspect Detection Through Weakly Supervised Co-Training (#3207) [[arXiv]](http://arxiv.org/abs/1909.00415) [Back to Top](#index) #### Summarization and Generation - Neural Text Summarization: A Critical Evaluation (#3687) [[arXiv]](https://arxiv.org/abs/1908.08960) - Neural data-to-text generation: A comparison between pipeline and end-to-end architectures (#2586) [[arXiv]](https://arxiv.org/abs/1908.09022) - MoverScore: Text Generation Evaluating with Contextualized Embeddings and Earth Mover Distance (#1175) [[arXiv]](https://arxiv.org/abs/1909.02622) - Select and Attend: Towards Controllable Content Selection in Text Generation (#3049) [[arXiv]](https://arxiv.org/abs/1909.04453) - Sentence-Level Content Planning and Style Specification for Neural Text Generation (#3357) [[arXiv]](https://arxiv.org/abs/1909.00734) [Back to Top](#index) #### Sentence-level Semantics - Translate and Label! An Encoder-Decoder Approach for Cross-lingual Semantic Role Labeling (#2740) [[arXiv]](https://arxiv.org/abs/1908.11326) - Syntax-Enhanced Self-Attention-Based Semantic Role Labeling (#2106) - VerbAtlas: a Novel Large-Scale Verbal Semantic Resource and Its Application to Semantic Role Labeling (#2213) - Parameter-free Sentence Embedding via Orthogonal Basis (#1099) - Evaluation Benchmarks and Learning Criteria for Discourse-Aware Sentence Representations (#3807) [[arXiv]](https://arxiv.org/abs/1909.00142) - Learning Semantic Parsers from Denotations with Latent Structured Alignments and Abstract Programs (#2676) [[arXiv]](https://arxiv.org/abs/1909.04165) - Broad-Coverage Semantic Parsing as Transduction (#263) [[arXiv]](https://arxiv.org/abs/1909.02607) - Core Semantic First: A Top-down Approach for AMR Parsing (#1544) [[arXiv]](https://arxiv.org/abs/1909.04303) - Don't paraphrase, detect! Rapid and Effective Data Collection for Semantic Parsing (#2904) [[arXiv]](https://arxiv.org/abs/1908.09940) - Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond (#TACL-1742) [[arXiv]](https://arxiv.org/abs/1812.10464) [Back to Top](#index) #### Speech, Vision, Robotics, Multimodal and Grounding - Extracting Possessions from Social Media: Images Complement Language (#3013) - Learning to Speak and Act in a Fantasy Text Adventure Game (#1243) [[arXiv]](https://arxiv.org/abs/1903.03094) - Help, Anna! Vision-based Navigation with Natural Multimodal Assistance via Retrospective Curiosity-Encouraging Imitation Learning (#1542) [[arXiv]](https://arxiv.org/abs/1909.01871) - Incorporating Visual Semantics into Sentence Representations within a Grounded Space (#2247) - Neural Naturalist: Generating Fine-Grained Image Comparisons (#3024) [[arXiv]](https://arxiv.org/abs/1909.04101) - LXMERT: Learning Cross-Modality Encoder Representations from Transformers (#3048) [[arXiv]](https://arxiv.org/abs/1908.07490) - Phrase Grounding by Soft-Label Chain Conditional Random Field (#3765) [[arXiv]](https://arxiv.org/abs/1909.00301) - What You See is What You Get: Visual Pronoun Coreference Resolution in Conversations (#549) [[arXiv]](https://arxiv.org/abs/1909.00421) - YouMakeup: A Large-Scale Domain-Specific Multimodal Dataset for Fine-Grained Semantic Comprehension (#122) - DEBUG: A Dense Bottom-Up Grounding Approach for Natural Language Video Localization (#167) [Back to Top](#index) #### Information Extraction - Fine-Grained Evaluation for Entity Linking (#116) - Supervising Unsupervised Open Information Extraction Models (#3069) - Neural Cross-Lingual Event Detection with Minimal Parallel Resources (#1723) [[arXiv]](https://arxiv.org/abs/1808.09861) - KnowledgeNet: A Benchmark Dataset for Knowledge Base Population (#1258) - Effective Use of Transformer Networks for Entity Tracking (#3308) [[arXiv]](https://arxiv.org/abs/1909.02635) - Improving Distantly-Supervised Relation Extraction with Joint Label Embedding (#337) - Leverage Lexical Knowledge for Chinese Named Entity Recognition via Collaborative Graph Network (#566) - Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction (#1057) [[arXiv]](https://arxiv.org/abs/1904.09331) - Easy First Relation Extraction with Information Redundancy (#1640) - Dependency-Guided LSTM-CRF for Named Entity Recognition (#2509) [[arXiv]](https://arxiv.org/abs/1909.10148) - CrossWeigh: Training Named Entity Tagger from Imperfect Annotations (#2712) [[arXiv]](https://arxiv.org/abs/1909.01441) - A Little Annotation does a Lot of Good: A Study in Bootstrapping Low-resource Named Entity Recognizers (#3259) [[arXiv]](https://arxiv.org/abs/1908.08983) - Open Domain Web Keyphrase Extraction Beyond Language Modeling (#1119) - TuckER: Tensor Factorization for Knowledge Graph Completion (#990) [[arXiv]](https://arxiv.org/abs/1901.09590) - Weakly Supervised Domain Detection (#TACL-1712) [[arXiv]](https://arxiv.org/abs/1907.11499) - Event Detection with Multi-Order Graph Convolution and Aggregated Attention (#835) - Coverage of Information Extraction from Sentences and Paragraphs (#1285) - HMEAE: Hierarchical Modular Event Argument Extraction (#2354) - Entity, Relation, and Event Extraction with Contextualized Span Representations (#3930) [[arXiv]](https://arxiv.org/abs/1909.03546) [Back to Top](#index) #### Semantics - Analytical Methods for Interpretable Ultradense Word Embeddings (#75) [[arXiv]](https://arxiv.org/abs/1904.08654) - Investigating Meta-Learning Algorithms for Low-Resource Natural Language Understanding Tasks (#3142) [[arXiv]](https://arxiv.org/abs/1908.10423) - Retrofitting Contextualized Word Embeddings with Paraphrases (#3045) [[arXiv]](https://arxiv.org/abs/1909.09700) - Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling (#3508) [Back to Top](#index) #### Discourse, Summarization, and Generation - Neural Linguistic Steganography (#3399) [[arXiv]](http://arxiv.org/abs/1909.01496) - The Feasibility of Embedding Based Automatic Evaluation for Single Document Summarization (#3018) - Attention Optimization for Abstractive Document Summarization (#1918) - Rewarding Coreference Resolvers for Being Consistent with World Knowledge (#2020) [[arXiv]](https://arxiv.org/abs/1909.02392) [Back to Top](#index) #### Text Mining and NLP Applications - An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction (#740) [[arXiv]](https://arxiv.org/abs/1909.00502) - A Multilingual Topic Model for Learning Weighted Topic Links Across Incomparable Corpora (#1257) - Measure Country-Level Socio-Economic Indicators with Streaming News: An Empirical Study (#3730) - Towards Extracting Medical Family History from Natural Language Interactions: A New Dataset and Baselines (#2903) - (Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas (#3793) [[arXiv]](https://arxiv.org/abs/1909.00098) - Movie Plot Analysis via Turning Point Identification (#244) [[arXiv]](https://arxiv.org/abs/1908.10328) - Latent Suicide Risk Detection on Microblog via Suicide-Oriented Word Embeddings and Layered Attention (#2488) - Deep Ordinal Regression for Pledge Specificity Prediction (#1903) [[arXiv]](https://arxiv.org/abs/1909.00187) - Enabling Robust Grammatical Error Correction in New Domains: Datasets, Metrics, and Analyses (#TACL-1677) - The Myth of Blind Review Revisited: Experiments on ACL vs. EMNLP (#2233) - Uncover Sexual Harassment Patterns from Personal Stories by Joint Key Element Extraction and Categorization (#2653) - Identifying Predictive Causal Factors from News Streams (#2864) - Training Data Augmentation for Detecting Adverse Drug Reactions in User-Generated Content (#3011) - Deep Reinforcement Learning-based Text Anonymization against Private-Attribute Inference (#3160) [Back to Top](#index) #### Neural Machine Translation - Enhancing Context Modeling with a Query-Guided Capsule Network for Document-level NMT (#2416) [[arXiv]](http://arxiv.org/abs/1909.00564) - Simple, Scalable Adaptation for Neural Machine Translation (#3252) [[arXiv]](http://arxiv.org/abs/1909.08478) - Controlling Text Complexity in Neural Machine Translation (#3177) - Investigating Multilingual NMT Representations at Scale (#1388) [[arXiv]](https://arxiv.org/abs/1909.02197) - Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation (#1423) [Back to Top](#index) #### Question Answering - Cross-Lingual Machine Reading Comprehension (#8) [[arXiv]](https://arxiv.org/abs/1909.00361) - A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning (#582) [[arXiv]](https://arxiv.org/abs/1908.05514) - Neural Duplicate Question Detection without Labeled Training Data (#880) - Asking Clarification Questions in Knowledge-Based Question Answering (#889) - Multi-View Domain Adapted Sentence Embeddings for Low-Resource Unsupervised Duplicate Question Detection (#1646) - Interactive Language Learning by Question Answering (#1367) [[arXiv]](https://arxiv.org/abs/1908.10909) - What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering (#3238) [[arXiv]](https://arxiv.org/abs/1909.09253) - KagNet: Learning to Answer Commonsense Questions with Knowledge-Aware Graph Networks (#436) - Learning with Limited Data for Multilingual Reading Comprehension (#3518) - A Discrete Hard EM Approach for Weakly Supervised Question Answering (#3778) [[arXiv]](https://arxiv.org/abs/1909.04849) #### Social Media and Computational Social Science - Multi-label Categorization of Accounts of Sexism using a Neural Framework (#172) [[arXiv]](http://arxiv.org/abs/1910.04602) - The Trumpiest Trump? Identifying a Subject's Most Characteristic Tweets (#1462) [[arXiv]](https://arxiv.org/abs/1909.04002) - Finding Microaggressions in the Wild: A Case for Locating Elusive Phenomena in Social Media Posts (#2950) - Reinforced Product Metadata Selection for Helpfulness Assessment of Customer Reviews (#694) - Learning Invariant Representations of Social Media Users (#3557) [[arXiv]](https://arxiv.org/abs/1910.04979) [Back to Top](#index) #### Discourse and Pragmatics - A Unified Neural Coherence Model (#1792) [[arXiv]](https://arxiv.org/abs/1909.00349) - Topic-Guided Coherence Modeling for Sentence Ordering by Preserving Global and Local Information (#2642) - Neural Generative Rhetorical Structure Parsing (#4060) [[arXiv]](https://arxiv.org/abs/1909.11049) - Weak Supervision for Learning Discourse Structure (#2453) - Predicting Discourse Structure using Distant Supervision from Sentiment (#2625) [Back to Top](#index) #### Tagging, Chunking, Syntax and Parsing - Designing and Interpreting Probes with Control Tasks (#4063) [[arXiv]](https://arxiv.org/abs/1909.03368) - Specializing Word Embeddings (for Parsing) by Information Bottleneck (#1357) [[arXiv]](https://arxiv.org/abs/1910.00163) - Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing - A Tale of Two Parsers Revisited (#2799) [[arXiv]](https://arxiv.org/abs/1908.07397) - Semantic graph parsing with recurrent neural network DAG grammars (#2863) [[arXiv]](https://arxiv.org/abs/1910.00051) - 75 Languages, 1 Model: Parsing Universal Dependencies Universally (#1221) [[arXiv]](http://arxiv.org/abs/1904.02099) [Back to Top](#index) #### Linguistic Theories, Cognitive Modeling and Psycholinguistics - Is the Red Square Big? MALeViC: Modeling Adjectives Leveraging Visual Contexts (#2585) [[arXiv]](https://arxiv.org/abs/1908.10285) - Investigating BERT's Knowledge of Language: Five Analysis Methods with NPIs (#3650) [[arXiv]](https://arxiv.org/abs/1909.02597) - Representation of Constituents in Neural Language Models: - Coordination Phrase as a Case Study (#3929) [[arXiv]](https://arxiv.org/abs/1909.04625) - Towards Zero-shot Language Modelling (#1745) - Neural Network Acceptability Judgments (#TACL-1710) [[arXiv]](https://arxiv.org/abs/1805.12471) [Back to Top](#index) #### Machine Translation and Multilinguality - Lost in Evaluation: Misleading Benchmarks for Bilingual Dictionary Induction (#1131) [[arXiv]](http://arxiv.org/abs/1909.05708) - Towards Realistic Practices In Low-Resource Natural Language Processing: The Development Set (#1266) [[arXiv]](https://arxiv.org/abs/1909.01522) - Synchronously Generating Two Languages with Interactive Decoding (#1478) - On NMT Search Errors and Model Errors: Cat Got Your Tongue? (#1868) [[arXiv]](https://arxiv.org/abs/1908.10090) - Do We Really Need Fully Unsupervised Cross-Lingual Embeddings? (#2459) [[arXiv]](https://arxiv.org/abs/1909.01638) - Weakly-Supervised Concept-based Adversarial Learning for Cross-lingual Word Embeddings (#2491) [[arXiv]](https://arxiv.org/abs/1904.09446) - Aligning Cross-lingual Entities with Multi-Aspect Information (#3541) [[arXiv]](http://arxiv.org/abs/1910.06575) - Contrastive Language Adaptation for Cross-Lingual Stance Detection (#2498) [[arXiv]](https://arxiv.org/abs/1910.02076) - Jointly Learning to Align and Translate with Transformer Models (#422) [[arXiv]](https://arxiv.org/abs/1909.02074) - Understanding Data Augmentation in Neural Machine Translation: Two Perspectives towards Generalization (#2192) - Simple and Effective Noisy Channel Modeling for Neural Machine Translation (#2869) [[arXiv]](https://arxiv.org/abs/1908.05731) - MultiFiT: Efficient Multi-lingual Language Model Fine-tuning (#745) [[arXiv]](https://arxiv.org/abs/1909.04761) - Hint-based Training for Non-AutoRegressive Machine Translation (#1064) - Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala English (#3349) [[arXiv]](https://arxiv.org/abs/1902.01382) - Constant-Time Machine Translation with Conditional Masked Language Models (#1204) - Learning to Copy for Automatic Post-Editing (#777) [Back to Top](#index) #### Reasoning and Question Answering - Going on a vacation takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding (#2533) [[arXiv]](https://arxiv.org/abs/1909.03065) - QAInfomax: Learning Robust Question Answering System by Mutual Information Maximization (#2798) [[arXiv]](https://arxiv.org/abs/1909.00215) - Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations (#329) [[arXiv]](https://arxiv.org/abs/1908.11513) - How Reasonable are Common-Sense Reasoning Tasks: A Case-Study on the Winograd Schema Challenge and SWAG (#586) [[arXiv]](https://arxiv.org/abs/1811.01778) [Back to Top](#index) #### Generation - Pun-GAN: Generative Adversarial Network for Pun Generation (#267) - Multi-Task Learning with Language Modeling for Question Generation (#3820) [[arXiv]](https://arxiv.org/abs/1908.11813) - Autoregressive Text Generation beyond Feedback Loops (#3506) [[arXiv]](https://arxiv.org/abs/1908.11658) - The Woman Worked as a Babysitter: On Biases in Language Generation (#3874) [[arXiv]](https://arxiv.org/abs/1909.01326) - Counterfactual Story Reasoning and Generation (#3328) [[arXiv]](https://arxiv.org/abs/1909.04076) - Encode, Tag, Realize: High-Precision Text Editing (#2395) [[arXiv]](https://arxiv.org/abs/1909.01187) - Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation (#128) - Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation (#1947) [[arXiv]](https://arxiv.org/abs/1909.11974) - A Topic Augmented Text Generation Model: Joint Learning of Semantics and Structural Features (#2822) - A Modular Architecture for Unsupervised Sarcasm Generation (#2725) - Interpoetry: Generating Classical Chinese Poems from Vernacular Chinese (#2534) [[arXiv]](https://arxiv.org/abs/1909.00279) - Set to Ordered Text: Generating Discharge Instructions from Medical Billing Codes (#724) [Back to Top](#index) #### Summarization - Summary Cloze: A New Task for Content Selection in Topic-Focused Summarization (#1178) - Text Summarization with Pretrained Encoders (#392) [[arXiv]](https://arxiv.org/abs/1908.08345) - How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing (#609) [[arXiv]](https://arxiv.org/abs/1909.08837) - Unsupervised Sentence Summarization using the Information Bottleneck Principle (#3219) [[arXiv]](https://arxiv.org/abs/1909.07405) - Improving Latent Alignment in Text Summarization by Generalizing the Pointer Generator (#3043) [Back to Top](#index) #### Information Retrieval and Document Analysis - Cross-Cultural Transfer Learning for Text Classification (#1036) - Combining Unsupervised Pre-training and Annotator Rationales to Improve Low-shot Text Classification (#1190) - Projection Sequence Networks for On-Device Text Classification (#3202) - Induction Networks for Few-Shot Text Classification (#3562) [[arXiv]](https://arxiv.org/abs/1902.10482) - Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach (#2899) [[arXiv]](https://arxiv.org/abs/1909.00161) - Human-grounded Evaluations of Explanation Methods for Text Classification (#425) [[arXiv]](https://arxiv.org/abs/1908.11355) - A Context-based Framework for Modeling the Role and Function of On-line Resource Citations in Scientific Literature (#793) - Adversarial Reprogramming of Text Classification Neural Networks (#28) [[arXiv]](https://arxiv.org/abs/1809.01829) - Document Hashing with Mixture-Prior Generative Models (#1676) [[arXiv]](https://arxiv.org/abs/1908.11078) - Efficient Vector Retrieval under Maximum Inner Product (#3421) [Back to Top](#index) #### Reasoning - Social IQa: Commonsense Reasoning about Social Interactions (#1334) [[arXiv]](https://arxiv.org/abs/1904.09728) - Self-Assembling Modular Networks for Interpretable Multi-Hop Reasoning (#2866) [[arXiv]](http://arxiv.org/abs/1909.05803) - Posing Fair Generalization Tasks for Natural Language Inference (#1413) - Everything Happens for a Reason: Discovering the Purpose of Actions in Procedural Text (#3279) [[arXiv]](https://arxiv.org/abs/1909.04745) - CLUTRR: A Diagnostic Benchmark for Inductive Reasoning from Text (#3183) [[arXiv]](https://arxiv.org/abs/1908.06177) [Back to Top](#index) #### Syntax, Parsing, and Linguistic Theories - Working Hard or Hardly Working: Challenges of Integrating Typology into Neural Dependency Parsers (#3860) [[arXiv]](https://arxiv.org/abs/1909.09279) - Cross-Lingual BERT Transformation for Zero-Shot Dependency Parsing (#1832) [[arXiv]](https://arxiv.org/abs/1909.06775) - Multilingual Grammar Induction with Continuous Language Identification (#3883) - Quantifying the Semantic Core of Gender Systems (#2637) [Back to Top](#index) #### Sentiment and Social Media - Perturbation Sensitivity Analysis for Detecting Unintended Model Biases (#3447) [[arXiv]](https://arxiv.org/abs/1910.04210) - Automatically Inferring Gender Associations from Language (#3519) [[arXiv]](https://arxiv.org/abs/1909.00091) - Reporting the Unreported: Event Extraction for Analyzing the Local Representation of Hate Crimes (#3715) [[arXiv]](https://arxiv.org/abs/1909.02126) - Minimally Supervised Learning of Affective Events Using Discourse Relations (#3493) [[arXiv]](https://arxiv.org/abs/1909.00694) [Back to Top](#index) #### Phonology, Word Segmentation, and Parsing - Constraint-based Learning of Phonological Processes (#451) - Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation (#1340) [[arXiv]](https://arxiv.org/abs/1908.11561) - A Generative Model for Punctuation in Dependency Trees (#TACL-1582) [[arXiv]](https://arxiv.org/abs/1906.11298) [Back to Top](#index) ### Poster & Demo Session #### Information Extraction, Information Retrieval and Document Analysis, Linguistic Theories - Leveraging Dependency Forest for Neural Medical Relation Extraction (#249) - Open Relation Extraction: Relational Knowledge Transfer from Supervised Data to Unsupervised Data (#569) - Improving Relation Extraction with Knowledge-attention (#710) [[arXiv]](https://arxiv.org/abs/1910.02724) - Jointly Learning Entity and Relation Representations for Entity Alignment (#782) [[arXiv]](https://arxiv.org/abs/1909.09317) - Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion (#796) [[arXiv]](https://arxiv.org/abs/1909.11359) - Low-Resource Name Tagging Learned with Weakly Labeled Data (#821) [[arXiv]](https://arxiv.org/abs/1908.09659) - Learning Dynamic Context Augmentation for Global Entity Linking (#841) [[arXiv]](http://arxiv.org/abs/1909.02117) - Open Event Extraction from Online Texts using a Generative Adversarial Network (#859) [[arXiv]](https://arxiv.org/abs/1908.09246) - Learning to Bootstrap for Entity Set Expansion (#1001) - Multi-input Multi-output Sequence Labeling for Joint Extraction of Fact and Condition Tuples from Scientific Text (#1149) - Cross-lingual Structure Transfer for Relation and Event Extraction (#1210) - Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation Maximization Framework (#1365) [[arXiv]](http://arxiv.org/abs/1909.05448) - Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction (#1736) [[arXiv]](http://arxiv.org/abs/1904.07535) - Event Detection with Trigger-Aware Lattice Neural Network (#1816) - A Boundary-aware Neural Model for Nested Named Entity Recognition (#1874) - Learning the Extraction Order of Multiple Relational Facts in a Sentence with Reinforcement Learning (#2024) - CaRe: Open Knowledge Graph Embeddings (#2439) - Self-Attention Enhanced CNNs and Collaborative Curriculum Learning for Distantly Supervised Relation Extraction (#2793) - Neural Cross-Lingual Relation Extraction Based on Bilingual Word Embedding Mapping (#3014) - Leveraging 2-hop Distant Supervision from Table Entity Pairs for Relation Extraction (#3059) [[arXiv]](http://arxiv.org/abs/1909.06007) - EntEval: A Holistic Evaluation Benchmark for Entity Representations (#3317) [[arXiv]](https://arxiv.org/abs/1909.00137) - Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction (#3646) [[arXiv]](https://arxiv.org/abs/1909.05360) - Hierarchical Text Classification with Reinforced Label Assignment (#32) [[arXiv]](https://arxiv.org/abs/1908.10419) - Investigating Capsule Network and Semantic Feature on Hyperplanes for Text Classification (#314) - Label-Specific Document Representation for Multi-Label Text Classification (#721) - Hierarchical Attention Prototypical Networks for Few-Shot Text Classification (#729) - Many Faces of Feature Importance: Comparing Built-in and Post-hoc Feature Importance in Text Classification (#2087) - Enhancing Local Feature Extraction with Global Representation for Neural Text Classification (#2273) - Latent-Variable Generative Text Classifiers for Data-Efficient NLP (#3004) - PaRe: A Paper-Reviewer Matching Approach Using a Common Topic Space (#3239) [[arXiv]](http://arxiv.org/abs/1909.11258) - Linking artificial and human neural representations of language (#2750) [[arXiv]](https://arxiv.org/abs/1910.01244) [Back to Top](#index) #### Machine Translation and Mulitilinguality, Phonology, Morphology and Word Segmentation, Tagging, Chunking, Syntax and Parsing - Explicit Cross-lingual Pre-training for Unsupervised Machine Translation (#233) [[arXiv]](https://arxiv.org/abs/1909.00180) - Latent Part-of-Speech Sequences for Neural Machine Translation (#410) [[arXiv]](https://arxiv.org/abs/1908.11782) - Improving Back-Translation with Uncertainty-based Confidence Estimation (#798) [[arXiv]](https://arxiv.org/abs/1909.00157) - Towards Linear Time Neural Machine Translation with Capsule Networks (#846) [[arXiv]](https://arxiv.org/abs/1811.00287) - Modeling Multi-mapping relations for Precise Cross-lingual Entity Alignment (#985) - Supervised and Nonlinear Alignment of Two Embedding Spaces for Dictionary Induction in Low Resourced Languages (#1226) - Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT (#1414) [[arXiv]](https://arxiv.org/abs/1904.09077) - Iterative Dual Domain Adaptation for Neural Machine Translation (#1427) - Multi-agent Learning for Neural Machine Translation (#1484) [[arXiv]](https://arxiv.org/abs/1909.01101) - Pivot-based Transfer Learning for Neural Machine Translation between non-English Languages (#1869) [[arXiv]](https://arxiv.org/abs/1909.09524) - Context-Aware Monolingual Repair for Neural Machine Translation (#1967) [[arXiv]](https://arxiv.org/abs/1909.01383) - Multi-Granularity Self-Attention for Neural Machine Translation (#2330) [[arXiv]](https://arxiv.org/abs/1909.02222) - The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives (#2415) [[arXiv]](https://arxiv.org/abs/1909.01380) - Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention (#2537) [[arXiv]](https://arxiv.org/abs/1908.11365) - A Discriminative Neural Model for Cross-Lingual Word Alignment (#2961) [[arXiv]](https://arxiv.org/abs/1909.00444) - One Model to Learn Both: Zero Pronoun Prediction and Translation (#3571) [[arXiv]](https://arxiv.org/abs/1909.00369) - Dynamic Past and Future for Neural Machine Translation (#3601) [[arXiv]](https://arxiv.org/abs/1904.09646) - Revisit Automatic Error Detection for Wrong and Missing Translation ‐ A Supervised Approach (#3770) - Towards Understanding Neural Machine Translation with Word Importance (#3857) [[arXiv]](https://arxiv.org/abs/1909.00326) - Multilingual Neural Machine Translation with Language Clustering (#4056) [[arXiv]](https://arxiv.org/abs/1908.09324) - Don't Forget the Long Tail! A Comprehensive Analysis of Morphological Generalization in Bilingual Lexicon Induction (#1065) [[arXiv]](https://arxiv.org/abs/1909.02855) - A Functionalist Account of Vowel System Typology (#1268) - Pushing the Limits of Low-Resource Morphological Inflection (#2230) [[arXiv]](https://arxiv.org/abs/1908.05838) - Morphological Analysis Using a Sequence Decoder (#TACL-1654) - Cross-Lingual Dependency Parsing Using Code-Mixed TreeBank (#205) [[arXiv]](https://arxiv.org/abs/1909.02235) - Hierarchical Pointer Net Parsing (#531) [[arXiv]](https://arxiv.org/abs/1908.11571) - Semi-Supervised Semantic Role Labeling with Cross-View Training (#719) - Low-Resource Sequence Labeling via Unsupervised Multilingual Contextualized Representations (#809) - A Lexicon-Based Graph Neural Network for Chinese NER (#863) - CM-Net: A Novel Collaborative Memory Network for Spoken Language Understanding (#1556) [[arXiv]](https://arxiv.org/abs/1909.06937) - Tree Transformer: Integrating Tree Structures into Self-Attention (#1794) [[arXiv]](https://arxiv.org/abs/1909.06639) - Semantic Role Labeling with Iterative Structure Refinement (#2179) [[arXiv]](https://arxiv.org/abs/1909.03285) - Entity Projection via Machine-Translation for Cross-Lingual NER (#2724) [[arXiv]](https://arxiv.org/abs/1909.05356) - A Bayesian Approach for Sequence Tagging with Crowds (#2738) [[arXiv]](https://arxiv.org/abs/1811.00780) - A systematic comparison of methods for low-resource dependency parsing on genuinely low-resource languages (#3091) [[arXiv]](http://arxiv.org/abs/1909.02857) - Target Language-Aware Constrained Inference for Cross-lingual Dependency Parsing (#3368) [[arXiv]](https://arxiv.org/abs/1909.01482) - Look-up and Adapt: A One-shot Semantic Parser (#3711) - Similarity Based Auxiliary Classifier for Named Entity Recognition (#3886) - Variable beam search for generative neural parsing and its relevance for neuro-imaging signal analysis (#4015) [Back to Top](#index) #### Dialog and Interactive Systems, Machine Translation and Multilinuality, Phonology, Morphology, and Word Segmentation, Speech, Vision, Robotics, Multimodal and Grounding, Tagging, Chunking, Syntax and Parsing - Multi-task Learning for Natural Language Generation in Task-Oriented Dialogue (#242) - Dirichlet Latent Variable Hierarchical Recurrent Encoder-Decoder in Dialogue Generation (#622) - Semi-Supervised Bootstrapping of Dialogue State Trackers for Task-Oriented Modelling (#1011) - A Progressive Model to Enable Continual Learning for Semantic Slot Filling (#1289) - CASA-NLU: Context-Aware Self-Attentive Natural Language Understanding for Task-Oriented Chatbots (#1447) [[arXiv]](https://arxiv.org/abs/1909.08705) - Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems (#2050) - Zero-shot Cross-lingual Dialogue Systems with Transferable Latent Variables (#2329) - Modeling Multi-Action Policy for Task-Oriented Dialogues (#2650) [[arXiv]](https://arxiv.org/abs/1908.11546) - An Evaluation for Intent Classification and Out-of-Scope Prediction (#3471) [[arXiv]](https://arxiv.org/abs/1909.02027) - Automatically Learning Data Augmentation Policies for Dialogue Tasks (#3528) [[arXiv]](https://arxiv.org/abs/1909.12868) - uniblock: Scoring and Filtering Corpus with Unicode Block Information (#351) [[arXiv]](https://arxiv.org/abs/1908.09716) - Multilingual word translation using auxiliary languages (#533) - Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons (#801) [[arXiv]](https://arxiv.org/abs/1909.01562) - Improved Sentence Alignment in Linear Time and Space (#1284) - Simpler and Faster Learning of Adaptive Policies for Simultaneous Translation (#1603) [[arXiv]](https://arxiv.org/abs/1909.01559) - Adversarial Learning with Contextual Embeddings for Zero-resource Cross-lingual Classification and NER (#1889) [[arXiv]](https://arxiv.org/abs/1909.00153) - Recurrent Embedding for Neural Machine Translation (#2114) - Machine Translation for Machines: the Sentiment Classification Use Case (#2413) [[arXiv]](http://arxiv.org/abs/1910.00478) - Investigating the Effectiveness of BPE: The Power of Shorter Sequences (#2552) - HABLex: Human Annotated Bilingual Lexicons for Experiments in Machine Translation (#3022) - Handling Syntactic Divergence in Low-resource Machine Translation (#3336) [[arXiv]](https://arxiv.org/abs/1909.00040) - Speculative Beam Search for Simultaneous Translation (#3487) [[arXiv]](https://arxiv.org/abs/1909.05421) - Self-Attention with Structural Position Representations (#3548) [[arXiv]](http://arxiv.org/abs/1909.00383) - Low-Resource Neural Machine Translation by Exploiting Multilingualism through Multi-Step Fine-Tuning Using N-way Parallel Corpora (#3590) - Unsupervised Domain Adaptation for Neural Machine Translation with Domain-Aware Feature Embeddings (#3716) [[arXiv]](https://arxiv.org/abs/1908.10430) - A Regularization-based Framework for Bilingual Grammar Induction (#4061) - Encoders Help You Disambiguate Word Senses in Neural Machine Translation (#4083) [[arXiv]](https://arxiv.org/abs/1908.11771) - Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model (#2376) - Convolutional Neural Networks for Diacritic Restoration (#3733) - Improving Visual Dialog by Learning to Answer Diverse Questions (#459) - Cross-lingual Transfer Learning with Data Selection for Large-Scale Spoken Language Understanding (#790) [[arXiv]](https://arxiv.org/abs/1904.01825) - Multi-Head Attention with Diversity for Learning Grounded Multilingual Multimodal Representations (#2786) [[arXiv]](https://arxiv.org/abs/1910.00058) - Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering (#3263) [[arXiv]](https://arxiv.org/abs/1909.02097) - REO-Relevance, Extraness, Omission: A Fine-grained Evaluation for Image Captioning (#3293) [[arXiv]](https://arxiv.org/abs/1909.02217) - WSLLN: Weakly Supervised Natural Language Localization Networks (#3398) [[arXiv]](https://arxiv.org/abs/1909.00239) - Grounding learning of modifier dynamics: An application to colour naming. (#3748) [[arXiv]](http://arxiv.org/abs/1909.07586) - Efficient Navigation with Language Pre-training and Stochastic Sampling (#3830) [[arXiv]](https://arxiv.org/abs/1909.02244) - Towards Making a Dependency Parser See (#413) [[arXiv]](https://arxiv.org/abs/1909.01053) - Unsupervised Labeled Parsing with Deep Inside-Outside Recursive Autoencoders (#1234) [[arXiv]](https://arxiv.org/abs/1904.02142) - Dependency Parsing for Spoken Dialog Systems (#3171) [[arXiv]](https://arxiv.org/abs/1909.03317) - Span-based Hierarchical Semantic Parsing for Task-Oriented Dialog (#3240) [Back to Top](#index) #### Dialog and Interactive Systems, Speech, Vision, Robotics, Multimodal and Grounding - Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks (#9) [[arXiv]](https://arxiv.org/abs/1910.01302) - Multi-Granularity Representations of Dialog (#64) [[arXiv]](https://arxiv.org/abs/1908.09890) - Are You for Real? Detecting Identity Fraud via Dialogue Interactions (#111) [[arXiv]](https://arxiv.org/abs/1908.06820) - Hierarchy Response Learning for Neural Conversation Generation (#124) - Knowledge Aware Conversation Generation with Explainable Reasoning on Augmented Graphs (#138) [[arXiv]](https://arxiv.org/abs/1903.10245) - Adaptive Parameterization for Neural Dialogue Generation (#298) - Towards Knowledge-Based Recommender Dialog System (#316) [[arXiv]](https://arxiv.org/abs/1908.05391) - Structuring latent spaces for stylized response generation (#419) [[arXiv]](https://arxiv.org/abs/1909.05361) - Improving Open-Domain Dialogue Systems via Multi-Turn Incomplete Utterance Restoration (#537) - Unsupervised Context Rewriting for Open Domain Conversation (#771) - Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots (#866) [[arXiv]](https://arxiv.org/abs/1908.05859) - DyKgChat: Benchmarking Dialogue Generation Grounding on Dynamic Knowledge Graphs (#1432) [[arXiv]](https://arxiv.org/abs/1910.00610) - Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework (#1550) - Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation (#1842) [[arXiv]](https://arxiv.org/abs/1909.00754) - Low-Resource Response Generation with Template Prior (#1931) [[arXiv]](https://arxiv.org/abs/1909.11968) - A Discrete CVAE for Response Generation on Short-Text Conversation (#2039) - Who Is Speaking to Whom? Learning to Identify Utterance Addressee in Multi-Party Conversations (#2495) - A Semi-Supervised Stable Variational Network for Promoting Replier-Consistency in Dialogue Generation (#2594) - Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders (#2685) - Variational Hierarchical User-based Conversation Model (#3513) - Recommendation as a Communication Game: Self-Supervised Role-Playing for Goal-oriented Dialogue (#3727) [[arXiv]](https://arxiv.org/abs/1909.03922) - CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases (#3881) [[arXiv]](https://arxiv.org/abs/1909.05378) - A Practical Dialogue-Act-Driven Conversation Model for Multi-Turn Response Selection (#3954) - How to Build User Simulators to Train RL-based Dialog Systems (#4003) [[arXiv]](https://arxiv.org/abs/1909.01388) - Graph Convolutional Network with Sequential Attention for Goal-Oriented Dialogue Systems (#TACL-1676) - Low-Rank HOCA: Efficient High-Order Cross-Modal Attention for Video Captioning (#294) - Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach (#370) [[arXiv]](https://arxiv.org/abs/1909.02201) - Dual Attention Networks for Visual Reference Resolution in Visual Dialog (#401) [[arXiv]](https://arxiv.org/abs/1902.09368) - Unsupervised Discovery of Multimodal Links in Multi-image, Multi-sentence Documents (#942) [[arXiv]](https://arxiv.org/abs/1904.07826) - UR-FUNNY: A Multimodal Language Dataset for Understanding Humor (#996) [[arXiv]](https://arxiv.org/abs/1904.06618) - Partners in Crime: Multi-view Sequential Inference for Movie Understanding (#1923) - Guiding the Flowing of Semantics: Interpretable Video Captioning via POS Tag (#2097) - A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding (#2414) [[arXiv]](https://arxiv.org/abs/1909.02188) - Talk2Car: Taking Control Of Your Self Driving Car (#2718) [[arXiv]](http://arxiv.org/abs/1909.10838) - Fact-Checking Meets Fauxtography: Verifying Claims About Images (#2739) [[arXiv]](https://arxiv.org/abs/1908.11722) - Video Dialog via Progressive Inference and Cross-Transformer (#2766) - Executing Instructions in Situated Collaborative Interactions (#2884) [[arXiv]](https://arxiv.org/abs/1910.03655) - Fusion of Detected Objects in Text for Visual Question Answering (#3099) [[arXiv]](https://arxiv.org/abs/1908.05054) - TIGEr: Text-to-Image Grounding for Image Caption Evaluation (#3260) [[arXiv]](https://arxiv.org/abs/1909.02050) [Back to Top](#index) #### Question Answering, Textual Inference and Other Areas of Semantics - Tree-structured Decoding for Solving Math Word Problems (#56) - PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text (#86) [[arXiv]](https://arxiv.org/abs/1904.09537) - Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning (#107) [[arXiv]](https://arxiv.org/abs/1909.00277) - Finding Generalizable Evidence by Learning to Convince Q&A Models (#179) [[arXiv]](https://arxiv.org/abs/1909.05863) - Ranking and Sampling in Open-domain Question Answering (#468) - A Non-commutative Bilinear Model for Answering Path Queries in Knowledge Graphs (#618) [[arXiv]](https://arxiv.org/abs/1909.01567) - Generating Questions for Knowledge Bases via Incorporating Diversified Contexts and Answer-Aware Loss (#807) - Multi-task Learning for Conversational Question Answering Over a Large-Scale Knowledge Base (#924) [[arXiv]](http://arxiv.org/abs/1910.05069) - BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels (#1930) [[arXiv]](https://arxiv.org/abs/1910.05040) - Language Models as Knowledge Bases? (#2085) [[arXiv]](https://arxiv.org/abs/1909.01066) - NumNet: Machine Reading Comprehension with Numerical Reasoning (#2237) [[arXiv]](https://arxiv.org/abs/1910.06701) - Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks (#2277) [[arXiv]](https://arxiv.org/abs/1909.00964) - Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering (#2390) [[arXiv]](https://arxiv.org/abs/1909.06356) - Adversarial Domain Adaptation for Machine Reading Comprehension (#2764) [[arXiv]](https://arxiv.org/abs/1908.09209) - Incorporating External Knowledge into Machine Reading for Generative Question Answering (#2820) [[arXiv]](https://arxiv.org/abs/1909.02745) - Answering questions by learning to rank - Learning to rank by answering questions (#2825) [[arXiv]](http://arxiv.org/abs/1909.00596) - Discourse-Aware Semantic Self-Attention for Narrative Reading Comprehension (#2940) [[arXiv]](https://arxiv.org/abs/1908.10721) - Revealing the Importance of Semantic Retrieval for Machine Reading at Scale (#2945) [[arXiv]](https://arxiv.org/abs/1909.08041) - PubMedQA: A Dataset for Biomedical Research Question Answering (#2978) [[arXiv]](https://arxiv.org/abs/1909.06146) - Quick and (not so) Dirty: Unsupervised Selection of Justification Sentences for Multi-hop Question Answering (#3164) - Answering Complex Open-domain Questions Through Iterative Query Generation (#3417) [[arXiv]](https://arxiv.org/abs/1910.07000) - NL2pSQL: Generating Pseudo-SQL Queries from Under-specified Natural Language Questions (#3489) - Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering (#4004) [[arXiv]](https://arxiv.org/abs/1908.11053) - Incorporating Graph Attention Mechanism into Knowledge Graph Reasoning Based on Deep Reinforcement Learning (#147) - Learning to Update Knowledge Graph by Reading News (#493) - DIVINE: A Generative Adversarial Imitation Learning Framework for Knowledge Graph Reasoning (#709) - Original Semantics-Oriented Attention and Deep Fusion Network for Sentence Matching (#829) - Representation Learning with Ordered Relation Paths for Knowledge Graph Completion (#972) [[arXiv]](http://arxiv.org/abs/1909.11864) - Collaborative Policy Learning for Open Knowledge Graph Reasoning (#1018) [[arXiv]](https://arxiv.org/abs/1909.00230) - Modeling Event Background for If-Then Commonsense Reasoning Using Context-aware Variational Autoencoder (#1444) [[arXiv]](https://arxiv.org/abs/1909.08824) - Asynchronous Deep Interaction Network for Natural Language Inference (#2257) - Keep Calm and Switch On! Preserving Sentiment and Fluency in Semantic Text Exchange (#2830) [[arXiv]](https://arxiv.org/abs/1909.00088) - Query-focused Scenario Construction (#3550) [[arXiv]](https://arxiv.org/abs/1909.06877) - Semi-supervised Entity Alignment via Joint Knowledge Embedding Model and Cross-graph Model (#3819) [Back to Top](#index) #### Discourse and Pragmatics, Summarization and Generation - Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite (#723) [[arXiv]](https://arxiv.org/abs/1909.00131) - A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing (#2916) - Weakly Supervised Multilingual Causality Extraction fromWikipedia (#3994) - Attribute-aware Sequence Network for Review Summarization (#210) - Extractive Summarization of Long Documents by Combining Global and Local Context (#268) [[arXiv]](https://arxiv.org/abs/1909.08089) - Enhancing Neural Data-To-Text Generation Models with External Background Knowledge (#313) - Reading Like HER: Human Reading Inspired Extractive Summarization (#346) - Contrastive Attention Mechanism for Abstractive Sentence Summarization (#361) - NCLS: Neural Cross-Lingual Summarization (#703) [[arXiv]](https://arxiv.org/abs/1909.00156) - Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning (#749) [[arXiv]](https://arxiv.org/abs/1909.03582) - Concept Pointer Network for Abstractive Summarization (#845) - Surface Realisation Using Full Delexicalisation (#1139) - Unsupervised Text Attribute Transfer via Iterative Matching and Translation (#1169) [[arXiv]](https://arxiv.org/abs/1901.11333) - Better Rewards Yield Better Summaries: Learning to Summarise Without References (#1191) [[arXiv]](https://arxiv.org/abs/1909.01214) - Mixture Content Selection for Diverse Sequence Generation (#1369) [[arXiv]](https://arxiv.org/abs/1909.01953) - An End-to-End Generative Architecture for Paraphrase Generation (#1375) - Table-to-Text Generation with Effective Hierarchical Encoder on Three dimensions (Row, Column and Time) (#1726) [[arXiv]](http://arxiv.org/abs/1909.02304) - Subtopic-Driven Multi-Document Summarization (#1779) - Referring Expression Generation Using Entity Profiles (#1805) [[arXiv]](https://arxiv.org/abs/1909.01528) - Exploring Diverse Expressions for Paraphrase Generation (#1834) - Enhancing AMR-to-Text Generation with Dual Graph Representations (#1852) [[arXiv]](https://arxiv.org/abs/1909.00352) - Keeping Consistency of Sentence Generation and Document Classification with Multi-Task Learning (#1881) - Toward a task of feedback comment generation for writing learning (#2031) - Improving Question Generation With to the Point Context (#2033) [[arXiv]](https://arxiv.org/abs/1910.06036) - Deep Copycat Networks for Text-to-Text Generation (#2121) - Towards Controllable and Personalized Review Generation (#2412) [[arXiv]](https://arxiv.org/abs/1910.03506) - Answers Unite! Unsupervised Metrics for Reinforced Summarization Models (#2604) [[arXiv]](https://arxiv.org/abs/1909.01610) - Long and Diverse Text Generation with Planning-based Hierarchical Variational Model (#2746) [[arXiv]](https://arxiv.org/abs/1908.06605) - “Transforming” Delete, Retrieve, Generate Approach for Controlled Text Style Transfer (#2932) [[arXiv]](https://arxiv.org/abs/1908.09368) - An Entity-Driven Framework for Abstractive Summarization (#3275) [[arXiv]](https://arxiv.org/abs/1909.02059) - Neural Extractive Text Summarization with Syntactic Compression (#3334) [[arXiv]](https://arxiv.org/abs/1902.00863) - Domain Adaptive Text Style Transfer (#3511) [[arXiv]](https://arxiv.org/abs/1908.09395) - Let's Ask Again: Refine Network for Automatic Question Generation (#3754) [[arXiv]](https://arxiv.org/abs/1909.05355) - Earlier Isn't Always Better: Submodular Analysis on Corpus and System Biases in Summarization (#3846) [[arXiv]](https://arxiv.org/abs/1908.11723) [Back to Top](#index) #### Information Retrieval and Document Analysis, Lexical Semantics, Sentence-level Semantics, Machine Learning - A Label Informative Wide & Deep Classifier for Scientific Publications (#542) - Text Level Graph Neural Network for Text Classification (#573) [[arXiv]](https://arxiv.org/abs/1910.02356) - Semantic Relatedness based Re-ranker for Text Spotting (#875) [[arXiv]](http://arxiv.org/abs/1909.07950) - Delta-training: Simple Semi-Supervised Text Classification using Pretrained Word Embeddings (#1306) [[arXiv]](https://arxiv.org/abs/1901.07651) - Visual Detection with Context for Document Layout Analysis (#1342) - Evaluating Topic Quality with Posterior Variability (#1562) [[arXiv]](https://arxiv.org/abs/1909.03524) - Neural Topic Model with Reinforcement Learning (#2494) - Modelling Stopping Criteria using Poisson Processes (#2705) [[arXiv]](https://arxiv.org/abs/1909.06239) - Cross-Domain Modeling of Sentence-Level Evidence for Document Retrieval (#3533) - The Challenges of Optimizing Machine Translation for Low Resource Cross-Language Information Retrieval (#4151) - Rotate King to get Queen: Word Relationships as Orthogonal Transformations in Embedding Space (#170) [[arXiv]](http://arxiv.org/abs/1909.00504) - GlossBERT: BERT for Word Sense Disambiguation with Gloss Knowledge (#362) [[arXiv]](https://arxiv.org/abs/1908.07245) - Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL (#670) - Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling (#1461) - Don't Just Scratch the Surface: Enhancing Word Representations for Korean with Hanja (#1615) [[arXiv]](https://arxiv.org/abs/1908.09282) - Challenging Supervised Word Sense Disambiguation with Lexical-Semantic Combinations (#2219) - Hierarchical Meta-Embeddings for Code-switching Named Entity Recognition (#2419) [[arXiv]](https://arxiv.org/abs/1909.08504) - Context-Aware Conversation Thread Detection in Group Chat (#162) - Fine-tune BERT with Sparse Self-Attention Mechanism (#327) - Feature-Dependent Confusion Matrices for Low-Resource NER Labeling with Noisy Labels (#806) [[arXiv]](https://arxiv.org/abs/1910.06061) - A Multi-Pairwise Extension of Procrustes Analysis for Multilingual Word Translation (#819) - Out-of-Domain Detection for Low-Resource Text Classification Tasks (#1063) [[arXiv]](https://arxiv.org/abs/1909.05357) - An Empirical Study of Harnessing Pre-Trained Neural Networks with Rules for Formality Style Transfer (#1877) - Multiple Text Style Transfer by using Word-level Conditional Generative Adversarial Network with Two-Phase Training (#1925) - Improved Differentiable Architecture Search for Language Model and Named Entity Recognition (#2104) - Using Pairwise Occurrence Information to Improve Knowledge Graph Completion on Large-Scale Datasets (#2696) - Single Training Dimension Selection for Word Embedding with PCA (#2741) [[arXiv]](https://arxiv.org/abs/1909.01761) - A Surprisingly Effective Fix for Deep Latent Variable Modeling of Text (#3040) [[arXiv]](https://arxiv.org/abs/1909.00868) - SciBERT: A Pretrained Language Model for Scientific Text (#3115) [[arXiv]](https://arxiv.org/abs/1903.10676) - Humor Detection: A Transformer Gets the Last Laugh (#3265) [[arXiv]](https://arxiv.org/abs/1909.00252) - Combining Global Sparse Gradients with Local Gradients in Distributed Neural Network Training (#3585) - Small and Practical BERT models for Sequence Labeling (#3631) [[arXiv]](https://arxiv.org/abs/1909.00100) - Data Augmentation with Atomic Templates for Spoken Language Understanding (#3776) [[arXiv]](https://arxiv.org/abs/1908.10770) - PaLM: A Hybrid Parser and Language Model (#4026) [[arXiv]](https://arxiv.org/abs/1909.02134) - A Pilot Study for Chinese SQL Semantic Parsing (#1593) [[arXiv]](https://arxiv.org/abs/1909.13293) - Global Reasoning over Database Structures for Text-to-SQL Parsing (#1616) [[arXiv]](https://arxiv.org/abs/1908.11214) - Transductive Learning of Neural Language Models for Syntactic and Semantic Analysis (#1712) - Efficient Sentence Embedding using Discrete Cosine Transform (#2287) [[arXiv]](https://arxiv.org/abs/1909.03104) - A Search-based Neural Model for Biomedical Nested and Overlapping Event Detection (#2393) - PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification (#3233) [[arXiv]](https://arxiv.org/abs/1908.11828) - Pretrained Language Models for Sequential Sentence Classification (#3887) [[arXiv]](https://arxiv.org/abs/1909.04054) - Emergent Linguistic Phenomena in Multi-Agent Communication Games (#2402) [[arXiv]](https://arxiv.org/abs/1901.08706) [Back to Top](#index) #### Machine Learning - A Logic-Driven Framework for Consistency of Neural Models (#6) [[arXiv]](https://arxiv.org/abs/1909.00126) - Style Transfer for Texts: to Err is Human, but Error Margins Matter (#109) - Implicit Deep Latent Variable Models for Text Generation (#161) [[arXiv]](https://arxiv.org/abs/1908.11527) - Text Emotion Distribution Learning from Small Sample: A Meta-Learning Approach (#200) - Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation (#247) [[arXiv]](https://arxiv.org/abs/1901.00398) - Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks (#373) [[arXiv]](https://arxiv.org/abs/1908.10084) - Learning Only from Relevant Keywords and Unlabeled Documents (#399) [[arXiv]](http://arxiv.org/abs/1910.04385) - Denoising-based Sequence-to-Sequence Pre-training for Text Generation (#592) [[arXiv]](https://arxiv.org/abs/1908.08206) - Dialog Intent Induction with Deep Multi-View Clustering (#686) [[arXiv]](https://arxiv.org/abs/1908.11487) - Nearly-Unsupervised Hashcode Representations for Biomedical Relation Extraction (#718) [[arXiv]](https://arxiv.org/abs/1909.03881) - Auditing Deep Learning processes through Kernel-based Explanatory Models (#888) - Enhancing Recurrent Variational Autoencoders with Mutual Information Estimation for Text Generation (#1060) - Sampling Bias in Deep Active Classification: An Empirical Study (#1286) [[arXiv]](https://arxiv.org/abs/1909.09389) - Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases (#1321) [[arXiv]](https://arxiv.org/abs/1909.03683) - Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation (#1360) [[arXiv]](https://arxiv.org/abs/1909.01492) - Rethinking Cooperative Rationalization: Introspective Extraction and Complement Control (#1422) - Experimenting with Power Divergences for Language Modeling (#1435) - Hierarchically-Refined Label Attention Network for Sequence Labeling (#1590) [[arXiv]](https://arxiv.org/abs/1908.08676) - Certified Robustness to Adversarial Word Substitutions (#1709) [[arXiv]](https://arxiv.org/abs/1909.00986) - Visualizing and Understanding the Effectiveness of BERT (#1846) [[arXiv]](https://arxiv.org/abs/1908.05620) - Topics to Avoid: Demoting Latent Confounds in Text Classification (#2147) [[arXiv]](https://arxiv.org/abs/1909.00453) - Learning to Ask for Conversational Machine Learning (#2168) - Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative Training (#2270) [[arXiv]](https://arxiv.org/abs/1810.11895) - Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs (#2394) - Fine-grained Knowledge Fusion for Sequence Labeling Domain Adaptation (#2441) [[arXiv]](https://arxiv.org/abs/1909.04315) - Exploiting Monolingual Data at Scale for Neural Machine Translation (#2477) - Meta Relational Learning for Few-Shot Link Prediction in Knowledge Graphs (#2554) [[arXiv]](https://arxiv.org/abs/1909.01515) - Distributionally Robust Language Modeling (#2660) [[arXiv]](https://arxiv.org/abs/1909.02060) - Unsupervised Domain Adaptation of Contextualized Embeddings for Sequence Labeling (#2686) [[arXiv]](https://arxiv.org/abs/1904.02817) - Learning Latent Parameters without Human Response Patterns: Item Response Theory with Artificial Crowds (#2706) [[arXiv]](https://arxiv.org/abs/1908.11421) - Parallel Iterative Edit Models for Local Sequence Transduction (#2716) [[arXiv]](https://arxiv.org/abs/1910.02893) - ARAML: A Stable Adversarial Training Framework for Text Generation (#2882) [[arXiv]](https://arxiv.org/abs/1908.07195) - FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow (#2905) [[arXiv]](https://arxiv.org/abs/1909.02480) - Compositional Generalization for Premitive Substitutions (#3039) [[arXiv]](https://arxiv.org/abs/1910.02612) - WikiCREM: A large unsupervised corpus for co-reference resolution (#3089) [[arXiv]](https://arxiv.org/abs/1908.08025) - Identifying and Explaining Discriminative Attributes (#3146) [[arXiv]](https://arxiv.org/abs/1909.05363) - Patient Knowledge Distillation for BERT Model Compression (#3194) [[arXiv]](https://arxiv.org/abs/1908.09355) - Neural Gaussian Copula for Variational Autoencoder (#3254) [[arXiv]](https://arxiv.org/abs/1909.03569) - Empirical Study of Transformer's Attention Mechanism via the Lens of Kernel (#3261) - Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification (#3478) [[arXiv]](https://arxiv.org/abs/1909.04176) - Revealing the Dark Secrets of BERT (#3494) [[arXiv]](https://arxiv.org/abs/1908.08593) - Machine Translation With Weakly Paired Documents (#4149) - Countering Language Drift via Grounding (#2201) [Back to Top](#index) #### Social Media and Computational Social Science, Text Mining and NLP Applications - Integrating Text and Image: Determining Multimodal Document Intent in Instagram Posts (#52) [[arXiv]](http://arxiv.org/abs/1904.09073) - Neural Conversation Recommendation with Online Interaction Modeling (#705) - Different Acquisition from the Same Sharing: Sifting Multi-task Learning for Fake News Detection (#720) [[arXiv]](https://arxiv.org/abs/1909.01720) - Text-based inference of moral sentiment change (#965) - Detecting Causal Language Use in Science Findings (#1439) - Multilingual and Multi-aspect Hate Speech Analysis (#1468) [[arXiv]](https://arxiv.org/abs/1908.11049) - MultiFC: A Real-World Multi-Domain Dataset for Evidence-Based Fact Checking of Claims (#1969) [[arXiv]](https://arxiv.org/abs/1909.03242) - A Deep Neural Information Fusion Architecture for Textual Network Embeddings (#2006) [[arXiv]](https://arxiv.org/abs/1908.11057) - You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP (#2186) [[arXiv]](https://arxiv.org/abs/1909.00412) - Unsupervised Domain Adaptation for Political Document Analysis (#2606) - Macrocosm: Social Media Persona Linking for OSINT Applications (#2659) - A Hierarchical Location Prediction Neural Network for Twitter User Geolocation (#2693) - Trouble on the Horizon: Forecasting the Derailment of Online Conversations as they Develop (#2828) [[arXiv]](https://arxiv.org/abs/1909.01362) - A Benchmark Dataset for Learning to Intervene in Online Hate Speech (#3391) [[arXiv]](https://arxiv.org/abs/1909.04251) - Detecting and Reducing Bias in a High Stakes Domain (#3461) [[arXiv]](https://arxiv.org/abs/1908.11474) - CodeSwitch-Reddit: Exploration of Written Multilingual Discourse in Online Discussion Forums (#3566) [[arXiv]](https://arxiv.org/abs/1908.11841) - Modeling Conversation Structure and Temporal Dynamics for Jointly Predicting Rumor Stance and Veracity (#3592) [[arXiv]](https://arxiv.org/abs/1909.08211) - Measuring Online Debaters' Persuasive Skill from Text over Time (#TACL-1639) - Reconstructing Capsule Networks for Zero-shot Intent Classification (#142) - Domain Adaptation for Person-Job Fit with Transferable Deep Global Match Network (#239) - Heterogeneous Graph Attention Networks for Semi-supervised Short Text Classification (#299) - Comparing and Developing Tools to Measure the Readability of Domain-Specific Texts (#438) - News2vec: News Network Embedding with Subnode Information (#473) - Recursive Context-Aware Lexical Simplification (#732) - Transfer Learning from Medical Literature for Section Prediction in Electronic Health Records (#1103) - Neural News Recommendation with Heterogeneous User Behavior (#1459) - Reviews Meet Graphs: Enhancing User and Item Representations for Recommendation with Hierarchical Attentive Graph Neural Network (#1470) - Event Representation Learning Enhanced with External Commonsense Knowledge (#1551) [[arXiv]](https://arxiv.org/abs/1909.05190) - Learning to Discriminate Perturbations for Blocking Adversarial Attacks in Text Classification (#1572) [[arXiv]](https://arxiv.org/abs/1909.03084) - A Neural Citation Count Prediction Model based on Peer Review Text (#1661) - Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs (#2044) [[arXiv]](http://arxiv.org/abs/1909.00228) - Semi-supervised Text Style Transfer: Cross Projection in Latent Space (#2052) [[arXiv]](https://arxiv.org/abs/1909.11493) - Question Answering for Privacy Policies: Combining Computational and Legal Perspectives (#2129) - Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation (#2381) - Fine-Grained Entity Typing via Hierarchical Multi Graph Convolutional Networks (#2389) - Learning to Infer Entities, Properties and their Relations from Clinical Conversations (#2942) [[arXiv]](https://arxiv.org/abs/1908.11536) - Practical Correlated Topic Modeling via the Rectified Anchor Word Algorithm (#3072) - Modeling the Relationship between User Comments and Edits in Document Revision (#3128) - PRADO: Projection Attention Networks for Document Classification On-Device (#3218) - Subword Language Model for Query Auto-Completion (#3873) [[arXiv]](https://arxiv.org/abs/1909.00599) - Enhancing Dialogue Symptom Diagnosis with Global Attention and Symptom Graph (#4069) [Back to Top](#index) #### Sentiment Analysis and Argument Mining, Lexical Semantics, Sentence-level Semantics - Multi-Relational Word Embeddings for Selectional Preferences (#623) - MulCode: A Multiplicative Multi-way Model for Compressing Neural Language Model (#700) - It's All in the Name: Mitigating Gender Bias with Name-Based Counterfactual Data Augmentation (#1220) [[arXiv]](http://arxiv.org/abs/1909.00871) - Examining Gender Bias in Languages with Grammatical Gender (#1741) [[arXiv]](https://arxiv.org/abs/1909.02224) - Weakly Supervised Cross-lingual Semantic Relation Classification via Knowledge Distillation (#3071) - Improved Word Sense Disambiguation Using Pre-Trained Contextualized Word Representations (#3702) [[arXiv]](https://arxiv.org/abs/1910.00194) - Do Neural NLP Models Know Numbers? Probing Numeracy in Embeddings (#3972) [[arXiv]](https://arxiv.org/abs/1909.07940) - A Split-and-Recombine Approach for Follow-up Query Analysis (#552) [[arXiv]](https://arxiv.org/abs/1909.08905) - Text2Math: End-to-end Parsing Text into Math Expressions (#1086) [[arXiv]](https://arxiv.org/abs/1910.06571) - Editing-based SQL Query Generation for Cross-Domain Context-Dependent Questions (#1287) [[arXiv]](https://arxiv.org/abs/1909.00786) - Syntax-aware Multilingual Semantic Role Labeling (#1351) [[arXiv]](https://arxiv.org/abs/1909.00310) - Cloze-driven Pretraining of Self-attention Networks (#1446) [[arXiv]](https://arxiv.org/abs/1903.07785) - Bridging the Gap between Relevance Matching and Semantic Matching for Short Text Similarity Modeling (#1558) - A Syntax-aware Multi-task Learning Framework for Chinese Semantic Role Labeling (#1836) - Injecting Phrasal Paraphrase Relation into Sentence Representation for Semantic Equivalence Assessment (#2060) - Data-Anonymous Encoding for Text-to-SQL Generation (#2231) - Capturing Argument Interaction in Semantic Role Labeling with Capsule Networks (#2993) [[arXiv]](https://arxiv.org/abs/1910.03136) - Learning Programmatic Idioms for Scalable Semantic Parsing (#3121) [[arXiv]](http://arxiv.org/abs/1904.09086) - Jupyter: A Large Scale Distantly Supervised Dataset for Open Domain Context Based Code Generation (#3451) [[arXiv]](https://arxiv.org/abs/1910.02216) - Model-based Interactive Semantic Parsing: A Unified Formulation and A Text-to-SQL Case Study (#3527) [[arXiv]](https://arxiv.org/abs/1910.05389) - Modeling Graph Structure in Transformer for Better AMR-to-Text Generation (#3835) [[arXiv]](https://arxiv.org/abs/1909.00136) - Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks (#72) [[arXiv]](https://arxiv.org/abs/1909.02606) - Learning Explicit and Implicit Structures for Targeted Sentiment Analysis (#281) [[arXiv]](https://arxiv.org/abs/1909.07593) - Capsule Network with Interactive Attention for Aspect-Level Sentiment Classification (#317) - Emotion Detection with Neural Personal Discrimination (#402) [[arXiv]](https://arxiv.org/abs/1908.10703) - Specificity-Driven Cascading Approach for Unsupervised Sentiment Modification (#475) - Lexical-Based Adversarial Reinforcement Training for Robust Sentiment Classification (#891) - Leveraging Structural and Semantic Correspondence for Attribute-Oriented Aspect Sentiment Discovery (#896) [[arXiv]](http://arxiv.org/abs/1908.10970) - From the Token to the Review: A Hierarchical Multimodal approach to Opinion Mining (#936) [[arXiv]](https://arxiv.org/abs/1908.11216) - Shallow Domain Adaptive Embeddings for Sentiment Analysis (#1477) [[arXiv]](https://arxiv.org/abs/1908.06082) - Domain-Invariant Feature Distillation for Cross-Domain Sentiment Classification (#1691) [[arXiv]](https://arxiv.org/abs/1908.09122) - A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis (#1705) [[arXiv]](https://arxiv.org/abs/1909.00324) - Human-Like Decision Making: Document-level Aspect Sentiment Classification via Hierarchical Reinforcement Learning (#1713) - A Dataset of General-Purpose Rebuttal (#1840) [[arXiv]](https://arxiv.org/abs/1909.00393) - Rethinking Attribute Representation and Injection for Sentiment Classification (#1992) [[arXiv]](https://arxiv.org/abs/1908.09590) - A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis (#2236) - Automatic Argument Quality Assessment - New Datasets and Methods (#2447) [[arXiv]](https://arxiv.org/abs/1909.01007) - Fine-Grained Analysis of Propaganda in News Articles (#2493) - Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis (#2707) - Sequential Learning of Convolutional Features for Effective Text Classification (#3182) [[arXiv]](https://arxiv.org/abs/1909.00080) - The Role of Pragmatic and Discourse Context in Determining Argument Impact (#3909) - Aspect-Level Sentiment Analysis Via Convolution over Dependency Tree (#4182) [Back to Top](#index) #### Discourse and Pragmatics, Linguistic Theories, Textual Inference, Question Answering, Summarization and Generation - Next Sentence Prediction helps Implicit Discourse Relation Classification within and across Domains (#982) - Split or Merge: Which is Better for Unsupervised RST Parsing? (#1701) - BERT for Coreference Resolution: Baselines and Analysis (#3731) [[arXiv]](https://arxiv.org/abs/1908.09091) - Linguistic Versus Latent Relations for Modeling a Flow in Paragraphs (#3815) [[arXiv]](https://arxiv.org/abs/1908.11790) - Event Causality Recognition Exploiting Multiple Annotators' Judgments and Background Knowledge (#4125) - What Part of the Neural Network Does This? Understanding LSTMs by Measuring and Dissecting Memory Cells (#1181) - Quantity doesn't buy quality syntax with neural language models (#1227) [[arXiv]](https://arxiv.org/abs/1909.00111) - Higher-order Comparisons of Sentence Encoder Representations (#2000) [[arXiv]](https://arxiv.org/abs/1909.00303) - Text Genre and Training Data Size in Human-Like Parsing (#2379) - Feature2Vec: Distributional semantic modelling of human property knowledge (#2535) [[arXiv]](https://arxiv.org/abs/1908.11439) - Has Pepperoni and Still Vegan?! Improving Answer Consistency in VQA through Entailed Question Generation (#424) [[arXiv]](https://arxiv.org/abs/1909.04696) - GeoSQA: A Benchmark for Scenario-based Question Answering in the Geography Domain at High School Level (#961) [[arXiv]](https://arxiv.org/abs/1908.07855) - Revisiting the Evaluation of Theory of Mind through Question Answering (#1069) - Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering (#1319) [[arXiv]](https://arxiv.org/abs/1908.08167) - A Span-Extraction Dataset for Chinese Machine Reading Comprehension (#2131) [[arXiv]](https://arxiv.org/abs/1810.07366) - CLAR: Contextualized and Lexicalized Aspect Representation for Non-factoid Question Answering (#2177) - Machine Reading Comprehension Using Structural Knowledge Graph-aware Network (#2229) - Answering Conversational Questions on Structured Data without Logical Forms (#2851) [[arXiv]](https://arxiv.org/abs/1908.11787) - Improving Answer Selection and Answer Triggering using Hard Negatives (#2859) - Can You Unpack That? Learning to Rewrite Questions-in-Context (#3163) - Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning (#3203) [[arXiv]](https://arxiv.org/abs/1908.05803) - Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model (#3303) [[arXiv]](https://arxiv.org/abs/1909.09587) - QuaRTz: An Open-Domain Dataset of Qualitative Relationship Questions (#3355) [[arXiv]](https://arxiv.org/abs/1909.03553) - Giving BERT a Calculator: Finding Operations and Arguments with Reading Comprehension (#3470) [[arXiv]](https://arxiv.org/abs/1909.00109) - A Gated Self-attention Memory Network for Answer Selection (#4067) [[arXiv]](https://arxiv.org/abs/1909.09696) - Polly Want a Cracker: Analyzing Performance of Parroting on Paraphrase Generation Datasets (#91) [[arXiv]](https://arxiv.org/abs/1908.07831) - Query-focused Sentence Compression in Linear Time (#482) [[arXiv]](https://arxiv.org/abs/1904.09051) - Generating Personalized Recipes from Historical User Preferences (#1255) [[arXiv]](https://arxiv.org/abs/1909.00105) - Generating Highly Relevant Questions (#1644) [[arXiv]](http://arxiv.org/abs/1910.03401) - Improving Neural Story Generation by Targeted Common Sense Grounding (#1674) [[arXiv]](https://arxiv.org/abs/1908.09451) - Abstract Text Summarization: A Low Resource Challenge (#1963) - Generating Modern Poetry Automatically in Finnish (#2083) - SUM-QE: a BERT-based Summary Quality Estimation Model (#2422) [[arXiv]](https://arxiv.org/abs/1909.00578) - An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation (#2870) [[arXiv]](https://arxiv.org/abs/1908.10835) - Countering the effects of lead bias in news summarization via multi-stage training and auxiliary losses (#3236) [[arXiv]](http://arxiv.org/abs/1909.04028) - Learning Rhyming Constraints using Structured Adversaries (#3950) [[arXiv]](https://arxiv.org/abs/1909.06743) - Question-type Driven Question Generation (#4105) [[arXiv]](https://arxiv.org/abs/1909.00140) - Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization (#4107) [[arXiv]](https://arxiv.org/abs/1909.00141) - Clause-Wise and Recursive Decoding for Complex and Cross-Domain Text-to-SQL Generation (#285) [[arXiv]](https://arxiv.org/abs/1904.08835) - Do Nuclear Submarines Have Nuclear Captains? A Challenge Dataset for Commonsense Reasoning over Adjectives and Objects (#1774) - Aggregating Bidirectional Encoder Representations Using MatchLSTM for Sequence Matching (#2244) - What Does This Word Mean? Explaining Contextualized Embeddings with Natural Language Definition (#2765) - Pre-Training BERT on Domain Resources for Short Answer Grading (#3058) - WIQA: A dataset for “What if...” reasoning over procedural text (#3276) [[arXiv]](https://arxiv.org/abs/1909.04739) - Evaluating BERT for natural language inference: a case study on the CommitmentBank (#3606) - Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs (#3974) [[arXiv]](https://arxiv.org/abs/1909.00160) [Back to Top](#index) #### Information Extraction, Text Mining and NLP Applications, Social Media and Computational Social Science, Sentiment Analysis and Argument Mining - An Attentive Fine-Grained Entity Typing Model with Latent Type Representation (#189) - An Improved Neural Baseline for Temporal Relation Extraction (#193) [[arXiv]](https://arxiv.org/abs/1909.00429) - Improving Fine-grained Entity Typing with Entity Linking (#822) [[arXiv]](https://arxiv.org/abs/1909.12079) - Combining Spans into Entities: A Neural Two-Stage Approach for Recognizing Discontiguous Entities (#1222) [[arXiv]](http://arxiv.org/abs/1909.00930) - Cross-Sentence N-ary Relation Extraction using Lower-Arity Universal Schemas (#1686) - GEANN: Gazetteer-Enhanced Attentive Neural Networks for Named Entity Recognition (#1760) - “A Buster Keaton of Linguistics”: First Automated Approaches for the Extraction of Vossian Antonomasia (#1782) - Multi-Task Learning for Chemical Named Entity Recognition with Chemical Compound Paraphrase (#1799) - FewRel 2.0: Towards More Challenging Few-Shot Relation Classification (#2697) [[arXiv]](https://arxiv.org/abs/1910.07124) - ner and pos when nothing is capitalized (#2992) [[arXiv]](https://arxiv.org/abs/1903.11222) - CaRB: A Crowdsourced Benchmark for Open IE (#4099) - Weakly Supervised Attention Networks for Entity Extraction (#4158) - Revealing and Predicting Online Persuasion Strategy with Elementary Units (#19) - A Challenge Dataset and Effective Models for Aspect-Based Sentiment Analysis (#849) - Learning with Noisy Labels for Sentence-level Sentiment Classification (#1157) [[arXiv]](https://arxiv.org/abs/1909.00124) - DENS: A Dataset for Multi-class Emotion Analysis (#1347) - Multi-Task Stance Detection with Sentiment and Stance Lexicons (#3016) - A Robust Self-Learning Framework for Cross-Lingual Text Classification (#3085) - Learning to Flip the Sentiment of Reviews from Non-Parallel Corpora (#3869) - Label Embedding using Hierarchical Structure of Labels for Twitter Classification (#80) - Interpretable Word Embeddings via Informative Priors (#393) [[arXiv]](http://arxiv.org/abs/1909.01459) - TalkDown: A Corpus for Condescension Detection in Context (#1526) [[arXiv]](https://arxiv.org/abs/1909.11272) - Adversarial Removal of Demographic Attributes Revisited (#2101) [[arXiv]](https://arxiv.org/abs/1808.06640) - A deep-learning framework to detect sarcasm targets (#2170) - In Plain Sight: Media Bias through the Lens of Factual Reporting (#2759) [[arXiv]](https://arxiv.org/abs/1909.02670) - Incorporating Label Dependencies in Multilabel Stance Detection (#3333) - Investigating Sports Commentator Bias within a Large Corpus of American Football Broadcasts (#3345) - Charge-Based Prison Term Prediction with Deep Gating Network (#759) [[arXiv]](https://arxiv.org/abs/1908.11521) - Restoring ancient text using deep learning: a case study on Greek epigraphy (#1020) [[arXiv]](https://arxiv.org/abs/1910.06262) - Embedding Lexical Features via Tensor Decomposition for Small Sample Humor Recognition (#1068) - EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks (#1192) [[arXiv]](https://arxiv.org/abs/1901.11196) - Neural News Recommendation with Multi-Head Self-Attention (#1581) - What Matters for Neural Cross-Lingual Named Entity Recognition: An Empirical Analysis (#1611) [[arXiv]](https://arxiv.org/abs/1909.03598) - Telling the Whole Story: A Manually Annotated Chinese Dataset for the Analysis of Humor in Jokes (#1737) - Generating Natural Anagrams: Towards Language Generation under Hard Combinatorial Constraints (#1763) - STANCY: Stance Classification Based on Consistency Cues (#2013) [[arXiv]](https://arxiv.org/abs/1910.06048) - Cross-lingual intent classification in a low resource industrial setting (#2551) - SoftRegex: Generating Regex from Natural Language Description using Softened Regex Equivalence (#2839) - Using Clinical Notes with Multimodal Learning for ICU Management. (#2907) - Spelling-Aware Construction of Mixed-Language Texts for Teaching Foreign-Language Vocabulary (#3639) - Towards Machine Reading for Interventions from Humanitarian-Assistance Program Literature (#3718) - RUN through the Streets: Dataset and Models for Realistic Urban Navigation (#4014) [[arXiv]](https://arxiv.org/abs/1909.08970) [Back to Top](#index) ## License [![license](https://camo.githubusercontent.com/60561947585c982aee67ed3e3b25388184cc0aa3/687474703a2f2f6d6972726f72732e6372656174697665636f6d6d6f6e732e6f72672f70726573736b69742f627574746f6e732f38387833312f7376672f63632d7a65726f2e737667)](https://creativecommons.org/publicdomain/zero/1.0/) To the extent possible under law, [Joohong Lee](https://roomylee.github.io/) has waived all copyright and related or neighboring rights to this work.