GATT-For-Aspect

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GATT-For-Aspect

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GATT-For-Aspect 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

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# GATT-For-Aspect

Code for AACL-IJCNLP 2020 paper: [Graph Attention Network with Memory Fusion for Aspect-level Sentiment Analysis](https://www.aclweb.org/anthology/2020.aacl-main.4/)

## Dependency

- python 3.6+
- [PyTorch](https://pytorch.org/) 1.1.0+
- scipay 1.5.2+

- others
  - nltk
  - numpy
  - sklearn
## data 
For get data,you can in [this link](https://github.com/GeneZC/ASGCN)

## Dependency tree-graph
For get Dependency tree-graph , you can run commands like this:
python denpendent-graph.py

## Train and Test 
you can run commands like this:
python train.py --dataset rest14
## Train and Test 
## Contact Me 
yuanli@mail.ynu.edu.cn

Cite our paper if you find our work is helpful~

@inproceedings{yuan-etal-2020-graph,
    title = "Graph Attention Network with Memory Fusion for Aspect-level Sentiment Analysis",
    author = "Yuan, Li  and
      Wang, Jin  and
      Yu, Liang-Chih  and
      Zhang, Xuejie",
    booktitle = "Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing",
    month = dec,
    year = "2020",
    pages = "27--36",
}

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