The implementation of
DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction. Huaishao Luo, Tianrui Li, Bing Liu, Junbo Zhang. ACL, 2019.
This paper focuses on two related subtasks of aspect-based sentiment analysis, namely aspect term extraction (ATE) and aspect sentiment classification (ASC), which we call aspect term-polarity co-extraction.
- python 2.7
- tensorflow==1.2.0
pip install -r requirements.txt
python main.py --do_preprocess --data_sets laptops_2014python main.py \
--do_train --do_evaluate \
--data_sets laptops_2014 \
--choice_rnncell regu \
--use_mpqa \
--use_labels_length \
--do_cross_share --lr 0.001 \
--batch_size 16See main.py for more training arguments.
Amazon Embedding can be found in amazon, and Yelp Embedding can be found in yelp.
If this work is helpful, please cite as:
@Inproceedings{Luo2019doer,
author = {Huaishao Luo and Tianrui Li and Bing Liu and Junbo Zhang},
title = {DOER: Dual Cross-Shared RNN for Aspect Term-Polarity Co-Extraction},
booktitle = {ACL},
year = {2019}
}
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