Abstract
Ensuring smooth communication is essential in a chat-oriented dialogue system, so that a user can obtain meaningful responses through interactions with the system. Most prior work on dialogue research does not focus on preventing dialogue breakdown. One of the major challenges is that a dialogue system may generate an undesired utterance leading to a dialogue breakdown, which degrades the overall interaction quality. Hence, it is crucial for a machine to detect dialogue breakdowns in an ongoing conversation. In this paper, we propose a novel dialogue breakdown detection model that jointly incorporates a pretrained cross-lingual language model and a co-attention network. Our proposed model leverages effective word embeddings trained on one hundred different languages to generate contextualized representations. Co-attention aims to capture the interaction between the latest utterance and the conversation history, and thereby determines whether the latest utterance causes a dialogue breakdown. Experimental results show that our proposed model outperforms all previous approaches on all evaluation metrics in both the Japanese and English tracks in Dialogue Breakdown Detection Challenge 4 (DBDC4 at IWSDS2019).- Anthology ID:
- 2020.coling-main.371
- 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:
- 4201–4210
- Language:
- URL:
- https://aclanthology.org/2020.coling-main.371
- DOI:
- 10.18653/v1/2020.coling-main.371
- Cite (ACL):
- Qian Lin, Souvik Kundu, and Hwee Tou Ng. 2020. A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown Detection. In Proceedings of the 28th International Conference on Computational Linguistics, pages 4201–4210, Barcelona, Spain (Online). International Committee on Computational Linguistics.
- Cite (Informal):
- A Co-Attentive Cross-Lingual Neural Model for Dialogue Breakdown Detection (Lin et al., COLING 2020)
- PDF:
- https://preview.aclanthology.org/proper-vol2-ingestion/2020.coling-main.371.pdf
- Code
- nusnlp/cxm