The code and data for the paper "Aspect-Sentiment-Multiple-Opinion Triplet Extraction"

Requirements

• Python 3.6.8
• torch==1.2.0
• pytorch-transformers==1.1.0
• allennlp==0.9.0

Instructions:

. Before excuting the following commands, replace glove.840B.300d.txt(http://nlp.stanford.edu/data/wordvecs/glove.840B.300d.zip), bert-base-uncased.tar.gz(https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased.tar.gz) and vocab.txt(https://s3.amazonaws.com/models.huggingface.co/bert/bert-base-uncased-vocab.txt) with the corresponding absolute paths in your computer.

ASMOTE

ATE

scripts/ate.asmote-data.multi_run.sh

TOWE

scripts/towe.asmote-data.multi_run.sh

TOWE inference

scripts/towe.asmote-data.multi_run.predict.sh

ATSA

scripts/atsa.asmote-data.multi_run.sh

AGF

scripts/asmote.asmote-data.multi_run.sh

AGF inference

scripts/asmote.asmote-data.multi_run.predict_test.sh

evaluate

scripts/evaluate.sh

Citation

@inproceedings{wang2021aspect,
  title={Aspect-Sentiment-Multiple-Opinion Triplet Extraction},
  author={Wang, Fang and Li, Yuncong and Zhong, Sheng-hua and Yin, Cunxiang and He, Yancheng},
  booktitle={CCF International Conference on Natural Language Processing and Chinese Computing},
  pages={583--594},
  year={2021},
  organization={Springer}
}