Characterizing the response space of questions: A corpus study for english and Polish

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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 (Łupkowski and Ginzburg, 2016). This work develops a wide coverage taxonomy for question/question sequences observable in corpora including the BNC, CHILDES, and BEE, as well as formal modelling 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 and Map-task with include 506, 262, and 467 question/response pairs respectively. We compare the data for English with data from Polish using the Spokes corpus (205 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.

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APA

Ginzburg, J., Yusupujiang, Z., Li, C., Ren, K., & Łupkowski, P. (2019). Characterizing the response space of questions: A corpus study for english and Polish. In SIGDIAL 2019 - 20th Annual Meeting of the Special Interest Group Discourse Dialogue - Proceedings of the Conference (pp. 320–330). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/W19-5937

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