# Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme

**Repository Path**: wwfcoder/Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme

## Basic Information

- **Project Name**: Joint-Extraction-of-Entities-and-Relations-Based-on-a-Novel-Tagging-Scheme
- **Description**: Joint Extraction of Entities and Relations Based on cnn+rnn
- **Primary Language**: Python
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2019-08-26
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# Joint extraction of entities and relations-pytorch+CNNs+LSTM
This project is based on [Deep Active Learning for Named Entity Recognition](https://arxiv.org/abs/1707.05928)  
and [Joint Extraction of Entities and Relations Based on a Novel Tagging Scheme](https://arxiv.org/abs/1706.05075)
    

# Dataset


    NYT-CoType
    
# Requirements

    1)python             3.6
    2)pytorch            1.0.0
    3)numpy              1.14.5
    4)pickle

# file

    ./data: data file + word2vec
    ./data.py:proces data file and save as binary file
    ./nodel.py: main model
    ./predict.py: not used in this project
    ./stats.py:statistics the data,not import in this project
    ./utils.py:define classes to keep wordvec
    ./model.pt:the model file
    ./record.tcv:the train record
    ./train.py: train file
    ./conv_net:CNN model

# how to run:

    python word2vec.py
    python data
    python train.py

# others:
    
    i upload data and model to google drive:https://drive.google.com/drive/folders/1WWKkvwtbg5fLmh3CnjPC2luxyHooyvmR?usp=sharing