Comparative Opinion Quintuple Extraction from Product Reviews

Ziheng Liu, Rui Xia, Jianfei Yu


Abstract
As an important task in opinion mining, comparative opinion mining aims to identify comparative sentences from product reviews, extract the comparative elements, and obtain the corresponding comparative opinion tuples. However, most previous studies simply regarded comparative tuple extraction as comparative element extraction, but ignored the fact that many comparative sentences may contain multiple comparisons. The comparative opinion tuples defined in these studies also failed to explicitly provide comparative preferences. To address these limitations, in this work we first introduce a new Comparative Opinion Quintuple Extraction (COQE) task, to identify comparative sentences from product reviews and extract all comparative opinion quintuples (Subject, Object, Comparative Aspect, Comparative Opinion, Comparative Preference). Secondly, based on the existing comparative opinion mining corpora, we make supplementary annotations and construct three datasets for the COQE task. Finally, we benchmark the COQE task by proposing a new BERT-based multi-stage approach as well as three baseline systems extended from previous methods. %The new approach significantly outperforms three baseline systems on three datasets and represents a strong benchmark for COQE. Experimental results show that the new approach significantly outperforms three baseline systems on three datasets for the COQE task.
Anthology ID:
2021.emnlp-main.322
Volume:
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2021
Address:
Online and Punta Cana, Dominican Republic
Editors:
Marie-Francine Moens, Xuanjing Huang, Lucia Specia, Scott Wen-tau Yih
Venue:
EMNLP
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
3955–3965
Language:
URL:
https://aclanthology.org/2021.emnlp-main.322
DOI:
10.18653/v1/2021.emnlp-main.322
Bibkey:
Cite (ACL):
Ziheng Liu, Rui Xia, and Jianfei Yu. 2021. Comparative Opinion Quintuple Extraction from Product Reviews. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 3955–3965, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
Comparative Opinion Quintuple Extraction from Product Reviews (Liu et al., EMNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.emnlp-main.322.pdf
Video:
 https://aclanthology.org/2021.emnlp-main.322.mp4
Code
 nustm/coqe