Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study

Ranran Zhen, Rui Wang, Guohong Fu, Chengguo Lv, Meishan Zhang

Abstract
Opinion Role Labeling (ORL), aiming to identify the key roles of opinion, has received increasing interest. Unlike most of the previous works focusing on the English language, in this paper, we present the first work of Chinese ORL. We construct a Chinese dataset by manually translating and projecting annotations from a standard English MPQA dataset. Then, we investigate the effectiveness of cross-lingual transfer methods, including model transfer and corpus translation. We exploit multilingual BERT with Contextual Parameter Generator and Adapter methods to examine the potentials of unsupervised cross-lingual learning and our experiments and analyses for both bilingual and multilingual transfers establish a foundation for the future research of this task.
Anthology ID:
2021.emnlp-main.796
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:
10139–10149
Language:
URL:
https://aclanthology.org/2021.emnlp-main.796
DOI:
10.18653/v1/2021.emnlp-main.796
Bibkey:
Cite (ACL):
Ranran Zhen, Rui Wang, Guohong Fu, Chengguo Lv, and Meishan Zhang. 2021. Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study. In Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, pages 10139–10149, Online and Punta Cana, Dominican Republic. Association for Computational Linguistics.
Cite (Informal):
Chinese Opinion Role Labeling with Corpus Translation: A Pivot Study (Zhen et al., EMNLP 2021)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-2/2021.emnlp-main.796.pdf
Software:
 2021.emnlp-main.796.Software.zip
Video:
 https://preview.aclanthology.org/nschneid-patch-2/2021.emnlp-main.796.mp4
Code
 zenrran/chineseorl-with-corpus-translation
Data
MPQA Opinion Corpus
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