Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction

Span-ASTE-Pytorch

This repository is a pytorch version that implements Ali’s ACL 2021 research
paper Learning Span-Level Interactions for Aspect Sentiment Triplet Extraction
.

• ? The original repository of the paper is based on
  the allennlp implementation
• ? Thanks to Ali’s dataset SemEval-Triplet-data that was open
  sourced, so that we can use it for research

Usage

1. ? Download dataset from here SemEval-Triplet-data,
   ASTE-Data-V2-EMNLP2020 is used in my repository
2. ? Download GloVe pre-trained word vectors,
3. ? Convert glove_input_file in GloVe format to word2vec format and write it to `word2vec_output_file

from gensim.scripts.glove2word2vec import glove2word2vec

glove2word2vec("path/to/dir/glove_input_file", "path/to/dir/word2vec_output_file")

4. ? train the span-aste model

python train.py --glove_word2vector vector_cache/w2v.txt \
          --dataset data/ASTE-Data-V2-EMNLP2020/15res/ \
          --output_path output/

5. ? test the span-aste model

python test.py --model_path  \
          --glove_word2vector corpus/w2v.txt \
          --dataset data/ASTE-Data-V2-EMNLP2020/15res/\
          -model `path/to/model/model.pkl`

GitHub

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