Abstract
The main aim of this paper is to provide a characterization of the response space for questions using a taxonomy grounded in a dialogical formal semantics. As a starting point we take the typology for responses in the form of questions provided in lupginz-jlm. This work develops a wide coverage taxonomy for question/question sequences observable in corpora including the BNC, CHILDES, and BEE, as well as formal modeling of all the postulated classes. Our aim is to extend this work to cover all responses to questions. We present the extended typology of responses to questions based on a corpus studies of BNC, BEE, Maptask and CornellMovie with include 506, 262, 467, and 678 question/response pairs respectively. We compare the data for English with data from Polish using the Spokes corpus (694 question/response pairs). We discuss annotation reliability and disagreement analysis. We sketch how each class can be formalized using a dialogical semantics appropriate for dialogue management.
- Anthology ID:
- 2022.dnd-13.1
- Volume:
- Dialogue & Discourse Volume 13
- Month:
- December
- Year:
- 2022
- Address:
- Chicago, Illinois, USA
- Editors:
- Amanda Stent, Barbara Di Eugenio, Massimo Poesio, Kallirroi Georgila, Manfred Stede
- Venue:
- DND
- SIG:
- SIGDIAL
- Publisher:
- University of Illinois Chicago
- Note:
- Pages:
- 79–132
- Language:
- URL:
- https://aclanthology.org/2022.dnd-13.1/
- DOI:
- 10.5210/dad.2022.203
- Bibkey:
- Cite (ACL):
- Jonathan Ginzburg, Zulipiye Yusupujiang, Chuyuan Li, Kexin Ren, Aleksandra Kucharska, and Pawel Lupkowski. 2022. Characterizing the Response Space of Questions: data and theory. Dialogue & Discourse, 13:79–132.
- Cite (Informal):
- Characterizing the Response Space of Questions: data and theory (Ginzburg et al., DND 2022)
- Copy Citation:
- PDF:
- https://aclanthology.org/2022.dnd-13.1.pdf