表征问题的回答空间:数据与理论

Q1 Arts and Humanities

Dialogue and Discourse Pub Date : 2022-12-20 DOI:10.5210/dad.2022.203

J. Ginzburg, Zulipiye Yusupujiang, Chuyuan Li, Kexin Ren, A. Kucharska, P. Lupkowski

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引用次数: 4

摘要

本文的主要目的是使用基于对话形式语义的分类法对问题的响应空间进行表征。作为起点，我们采用\cite{lupginz-jlm}中提供的问题形式的回答类型。这项工作为包括BNC、CHILDES和BEE在内的语料库中可观察到的问题/问题序列开发了一个广泛覆盖的分类法，以及所有假设类的形式化建模。我们的目标是将这项工作扩展到对\emph{所有}问题的回答。我们基于BNC、BEE、Maptask和CornellMovie的语料库研究，分别包括506、262、467和678个问题/回答对，提出了扩展的问题/回答类型。我们使用Spokes语料库(694个问题/回答对)将英语数据与波兰语数据进行比较。讨论了标注可靠性和歧义分析。我们概述了如何使用适合于对话管理的对话语义来形式化每个类。

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Characterizing the Response Space of Questions: data and theory

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 \cite{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 \emph{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.

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来源期刊

Dialogue and Discourse Arts and Humanities-Language and Linguistics

CiteScore

1.90

自引率

0.00%

发文量

审稿时长

12 weeks

期刊介绍： D&D seeks previously unpublished, high quality articles on the analysis of discourse and dialogue that contain -experimental and/or theoretical studies related to the construction, representation, and maintenance of (linguistic) context -linguistic analysis of phenomena characteristic of discourse and/or dialogue (including, but not limited to: reference and anaphora, presupposition and accommodation, topicality and salience, implicature, ---discourse structure and rhetorical relations, discourse markers and particles, the semantics and -pragmatics of dialogue acts, questions, imperatives, non-sentential utterances, intonation, and meta--communicative phenomena such as repair and grounding) -experimental and/or theoretical studies of agents'' information states and their dynamics in conversational interaction -new analytical frameworks that advance theoretical studies of discourse and dialogue -research on systems performing coreference resolution, discourse structure parsing, event and temporal -structure, and reference resolution in multimodal communication -experimental and/or theoretical results yielding new insight into non-linguistic interaction in -communication -work on natural language understanding (including spoken language understanding), dialogue management, -reasoning, and natural language generation (including text-to-speech) in dialogue systems -work related to the design and engineering of dialogue systems (including, but not limited to: -evaluation, usability design and testing, rapid application deployment, embodied agents, affect detection, -mixed-initiative, adaptation, and user modeling). -extremely well-written surveys of existing work. Highest priority is given to research reports that are specifically written for a multidisciplinary audience. The audience is primarily researchers on discourse and dialogue and its associated fields, including computer scientists, linguists, psychologists, philosophers, roboticists, sociologists.