Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction

Zhen Wu, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, Rui Xia

Abstract
Aspect-oriented Fine-grained Opinion Extraction (AFOE) aims at extracting aspect terms and opinion terms from review in the form of opinion pairs or additionally extracting sentiment polarity of aspect term to form opinion triplet. Because of containing several opinion factors, the complete AFOE task is usually divided into multiple subtasks and achieved in the pipeline. However, pipeline approaches easily suffer from error propagation and inconvenience in real-world scenarios. To this end, we propose a novel tagging scheme, Grid Tagging Scheme (GTS), to address the AFOE task in an end-to-end fashion only with one unified grid tagging task. Additionally, we design an effective inference strategy on GTS to exploit mutual indication between different opinion factors for more accurate extractions. To validate the feasibility and compatibility of GTS, we implement three different GTS models respectively based on CNN, BiLSTM, and BERT, and conduct experiments on the aspect-oriented opinion pair extraction and opinion triplet extraction datasets. Extensive experimental results indicate that GTS models outperform strong baselines significantly and achieve state-of-the-art performance.
Anthology ID:
2020.findings-emnlp.234
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2020
Month:
November
Year:
2020
Address:
Online
Editors:
Trevor Cohn, Yulan He, Yang Liu
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
2576–2585
Language:
URL:
https://aclanthology.org/2020.findings-emnlp.234
DOI:
10.18653/v1/2020.findings-emnlp.234
Bibkey:
Cite (ACL):
Zhen Wu, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, and Rui Xia. 2020. Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction. In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 2576–2585, Online. Association for Computational Linguistics.
Cite (Informal):
Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction (Wu et al., Findings 2020)
Copy Citation:
PDF:
https://preview.aclanthology.org/add_acl24_videos/2020.findings-emnlp.234.pdf
Code
 NJUNLP/GTS +  additional community code
Data
ASTE-Data-V2
PDF Search Code