Abstract
Emotion recognition in textual conversations (ERTC) plays an important role in a wide range of applications, such as opinion mining, recommender systems, and so on. ERTC, however, is a challenging task. For one thing, speakers often rely on the context and commonsense knowledge to express emotions; for another, most utterances contain neutral emotion in conversations, as a result, the confusion between a few non-neutral utterances and much more neutral ones restrains the emotion recognition performance. In this paper, we propose a novel Knowledge Aware Incremental Transformer with Multi-task Learning (KAITML) to address these challenges. Firstly, we devise a dual-level graph attention mechanism to leverage commonsense knowledge, which augments the semantic information of the utterance. Then we apply the Incremental Transformer to encode multi-turn contextual utterances. Moreover, we are the first to introduce multi-task learning to alleviate the aforementioned confusion and thus further improve the emotion recognition performance. Extensive experimental results show that our KAITML model outperforms the state-of-the-art models across five benchmark datasets.- Anthology ID:
- 2020.coling-main.392
- Volume:
- Proceedings of the 28th International Conference on Computational Linguistics
- Month:
- December
- Year:
- 2020
- Address:
- Barcelona, Spain (Online)
- Editors:
- Donia Scott, Nuria Bel, Chengqing Zong
- Venue:
- COLING
- SIG:
- Publisher:
- International Committee on Computational Linguistics
- Note:
- Pages:
- 4429–4440
- Language:
- URL:
- https://preview.aclanthology.org/add_missing_videos/2020.coling-main.392/
- DOI:
- 10.18653/v1/2020.coling-main.392
- Cite (ACL):
- Duzhen Zhang, Xiuyi Chen, Shuang Xu, and Bo Xu. 2020. Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer. In Proceedings of the 28th International Conference on Computational Linguistics, pages 4429–4440, Barcelona, Spain (Online). International Committee on Computational Linguistics.
- Cite (Informal):
- Knowledge Aware Emotion Recognition in Textual Conversations via Multi-Task Incremental Transformer (Zhang et al., COLING 2020)
- PDF:
- https://preview.aclanthology.org/add_missing_videos/2020.coling-main.392.pdf
- Data
- ConceptNet, EmoryNLP, IEMOCAP, MELD