Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer

Zeyu Li, Yilong Qin, Zihan Liu, Wei Wang


Abstract
We study Comparative Preference Classification (CPC) which aims at predicting whether a preference comparison exists between two entities in a given sentence and, if so, which entity is preferred over the other. High-quality CPC models can significantly benefit applications such as comparative question answering and review-based recommendation. Among the existing approaches, non-deep learning methods suffer from inferior performances. The state-of-the-art graph neural network-based ED-GAT (Ma et al., 2020) only considers syntactic information while ignoring the critical semantic relations and the sentiments to the compared entities. We propose Sentiment Analysis Enhanced COmparative Network (SAECON) which improves CPC accuracy with a sentiment analyzer that learns sentiments to individual entities via domain adaptive knowledge transfer. Experiments on the CompSent-19 (Panchenko et al., 2019) dataset present a significant improvement on the F1 scores over the best existing CPC approaches.
Anthology ID:
2021.emnlp-main.546
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:
6818–6830
Language:
URL:
https://aclanthology.org/2021.emnlp-main.546
DOI:
10.18653/v1/2021.emnlp-main.546
Bibkey:
Cite (ACL):
Zeyu Li, Yilong Qin, Zihan Liu, and Wei Wang. 2021. Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 6818–6830, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
Powering Comparative Classification with Sentiment Analysis via Domain Adaptive Knowledge Transfer (Li et al., EMNLP 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.emnlp-main.546.pdf
Video:
 https://aclanthology.org/2021.emnlp-main.546.mp4
Code
 zyli93/saecon