README

HITT: Hypernymy Identification in Chinese Traffic Legal Text

Requirements

• Python-3.7.3
• Pandas-0.24.2
• Numpy-1.15.4
• Pytorch-1.1.0
• Torchtext-0.4.0
• StanfordCoreNLP-3.9.1.1
• joblib-0.13.2

Usage

1. Download Stanford CoreNLP toolkit and the package for Chinese processing;
2. Download pre-trained word embedding
3. Use Stanford CoreNLP toolkit to parse the row sentence data and get the sequence of all the sentences by syntactic parsing;
4. Config the config.py file, use daojiao_pairs.xlsx file run the context_finder.py file to find the context of each pair in all sentence sequences;
5. Save the entity pairs, label information together with context information as input data;
6. Use Stanford CoreNLP to parse the input data into input sequence;
7. Run following command in all model files:

python train.py <path_to_training_file> <path_to_word_embedding_file>