Abstract
Thanks to the success of goal-oriented negotiation dialogue systems, studies of negotiation dialogue have gained momentum in terms of both human-human negotiation support and dialogue systems. However, the field suffers from a paucity of available negotiation corpora, which hinders further development and makes it difficult to test new methodologies in novel negotiation settings. Here, we share a human-human negotiation dialogue dataset in a job interview scenario that features increased complexities in terms of the number of possible solutions and a utility function. We test the proposed corpus using a breakdown detection task for human-human negotiation support. We also introduce a dialogue act-based breakdown detection method, focusing on dialogue flow that is applicable to various corpora. Our results show that our proposed method features comparable detection performance to text-based approaches in existing corpora and better results in the proposed dataset.- Anthology ID:
- 2021.eacl-main.63
- Volume:
- Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- Month:
- April
- Year:
- 2021
- Address:
- Online
- Editors:
- Paola Merlo, Jorg Tiedemann, Reut Tsarfaty
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 745–757
- Language:
- URL:
- https://aclanthology.org/2021.eacl-main.63
- DOI:
- 10.18653/v1/2021.eacl-main.63
- Cite (ACL):
- Atsuki Yamaguchi, Kosui Iwasa, and Katsuhide Fujita. 2021. Dialogue Act-based Breakdown Detection in Negotiation Dialogues. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 745–757, Online. Association for Computational Linguistics.
- Cite (Informal):
- Dialogue Act-based Breakdown Detection in Negotiation Dialogues (Yamaguchi et al., EACL 2021)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2021.eacl-main.63.pdf
- Code
- gucci-j/negotiation-breakdown-detection