Abstract
We analyze a corpus of referential communication through the lens of quantitative models of speaker reasoning. Different models place different emphases on linguistic reasoning and collaborative reasoning. This leads models to make different assessments of the risks and rewards of using specific utterances in specific contexts. By fitting a latent variable model to the corpus, we can exhibit utterances that give systematic evidence of the diverse kinds of reasoning speakers employ, and build integrated models that recognize not only speaker reference but also speaker reasoning.- Anthology ID:
- 2020.sigdial-1.22
- Volume:
- Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Month:
- July
- Year:
- 2020
- Address:
- 1st virtual meeting
- Editors:
- Olivier Pietquin, Smaranda Muresan, Vivian Chen, Casey Kennington, David Vandyke, Nina Dethlefs, Koji Inoue, Erik Ekstedt, Stefan Ultes
- Venue:
- SIGDIAL
- SIG:
- SIGDIAL
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 175–185
- Language:
- URL:
- https://aclanthology.org/2020.sigdial-1.22
- DOI:
- 10.18653/v1/2020.sigdial-1.22
- Cite (ACL):
- Brian McMahan and Matthew Stone. 2020. Analyzing Speaker Strategy in Referential Communication. In Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pages 175–185, 1st virtual meeting. Association for Computational Linguistics.
- Cite (Informal):
- Analyzing Speaker Strategy in Referential Communication (McMahan & Stone, SIGDIAL 2020)
- PDF:
- https://preview.aclanthology.org/dois-2013-emnlp/2020.sigdial-1.22.pdf