Abstract
Aspect sentiment triplet extraction (ASTE) is an essential task, which aims to extract triplets(aspect, opinion, sentiment). However, overlapped triplets, especially multi-overlap triplets,make ASTE a challenge. Most existing methods suffer from multi-overlap triplets becausethey focus on the single interactions between an aspect and an opinion. To solve the aboveissues, we propose a novel multi-overlap triplet extraction method, which decodes the complexrelations between multiple aspects and opinions by learning their cooperative interactions. Overall, the method is based on an encoder-decoder architecture. During decoding, we design ajoint decoding mechanism, which employs a multi-channel strategy to generate aspects andopinions through the cooperative interactions between them jointly. Furthermore, we constructa correlation-enhanced network to reinforce the interactions between related aspectsand opinions for sentiment prediction. Besides, a relation-wise calibration scheme is adoptedto further improve performance. Experiments show that our method outperforms baselines,especially multi-overlap triplets.- Anthology ID:
- 2022.findings-emnlp.243
- Volume:
- Findings of the Association for Computational Linguistics: EMNLP 2022
- Month:
- December
- Year:
- 2022
- Address:
- Abu Dhabi, United Arab Emirates
- Editors:
- Yoav Goldberg, Zornitsa Kozareva, Yue Zhang
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 3337–3347
- Language:
- URL:
- https://preview.aclanthology.org/icon-24-ingestion/2022.findings-emnlp.243/
- DOI:
- 10.18653/v1/2022.findings-emnlp.243
- Cite (ACL):
- Shiman Zhao, Wei Chen, and Tengjiao Wang. 2022. Learning Cooperative Interactions for Multi-Overlap Aspect Sentiment Triplet Extraction. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 3337–3347, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
- Cite (Informal):
- Learning Cooperative Interactions for Multi-Overlap Aspect Sentiment Triplet Extraction (Zhao et al., Findings 2022)
- PDF:
- https://preview.aclanthology.org/icon-24-ingestion/2022.findings-emnlp.243.pdf