BiGCN

Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis

• Code and preprocessed dataset for EMNLP 2020 paper titled "Convolution over Hierarchical Syntactic and Lexical Graphs for Aspect Level Sentiment Analysis"

Requirements

• Python 3.7
• PyTorch 1.1.0
• SpaCy 2.0.18
• numpy 1.16.2

Usage

• Download pretrained GloVe embeddings with this link and extract glove.840B.300d.txt into glove/.
• Train with command, optional arguments could be found in train.py

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 and ASGCN