# BiGCN

**Repository Path**: zhou8827/BiGCN

## Basic Information

- **Project Name**: BiGCN
- **Description**: Mi Zhang and Tieyun Qian,Convolution over Hierarchical  Level Sentiment Analysis,EMNLP2020
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-12-06
- **Last Updated**: 2021-12-06

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# BiGCN
Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis
* Code and preprocessed dataset for [EMNLP 2020](https://2020.emnlp.org/papers/main) paper titled "[Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis](https://www.aclweb.org/anthology/2020.emnlp-main.286/)" 

## Requirements
* Python 3.7
* PyTorch 1.1.0
* SpaCy 2.0.18
* numpy 1.16.2

## Usage

* Download pretrained GloVe embeddings with this [link](http://nlp.stanford.edu/data/wordvecs/glove.840B.300d.zip) and extract `glove.840B.300d.txt` into `glove/`.
* Train with command, optional arguments could be found in [train.py](/train.py)
```bash
python train.py --dataset rest16 --vocab_dir datasets/semeval16/rest16_ --save True
```

## Citation

If you use the code in your paper, please kindly star this repo and cite our paper
```
@inproceedings{DBLP:conf/emnlp/ZhangQ20,
  author    = {Mi Zhang and
               Tieyun Qian},
  title     = {Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect
               Level Sentiment Analysis},
  booktitle = {Proceedings of the 2020 Conference on Empirical Methods in Natural
               Language Processing, {EMNLP} 2020, Online, November 16-20, 2020},
  pages     = {3540--3549},
  year      = {2020},
  crossref  = {DBLP:conf/emnlp/2020-1},
  url       = {https://www.aclweb.org/anthology/2020.emnlp-main.286/},
  timestamp = {Thu, 19 Nov 2020 16:13:16 +0100},
  biburl    = {https://dblp.org/rec/conf/emnlp/ZhangQ20.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}
```

## Note
* Code of this repo heavily relies on [ABSA-PyTorch](https://github.com/songyouwei/ABSA-PyTorch) and [ASGCN](https://github.com/GeneZC/ASGCN)