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ASGCN

ASGCN - Aspect-Specific Graph Convolutional Network

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Requirements

Usage

pip install spacy

and

python -m spacy download en
python dependency_graph.py
python train.py --model_name asgcn --dataset rest14 --save True

Model

we propose to build a Graph Convolutional Network (GCN) over the dependency tree of a sentence to exploit syntactical information and word dependencies. Based on it, a novel aspectspecific sentiment classification framework is raised.

An overview of our proposed model is given below

model

Citation

If you use the code in your paper, please kindly star this repo and cite our paper

@inproceedings{zhang-etal-2019-aspect, 
    title = "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks", 
    author = "Zhang, Chen and Li, Qiuchi and Song, Dawei", 
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)", 
    month = nov, year = "2019", 
    address = "Hong Kong, China", 
    publisher = "Association for Computational Linguistics", 
    url = "https://www.aclweb.org/anthology/D19-1464", 
    doi = "10.18653/v1/D19-1464", 
    pages = "4560--4570",
} 

Credits