Lexical Acquisition during Dialogues through Implicit Confirmation

Q1 Arts and Humanities

Dialogue and Discourse Pub Date : 2022-06-21 DOI:10.5210/dad.2022.104

Kazunori Komatani, Kohei Ono, Ryu Takeda, Eric Nichols, Mikio Nakano

引用次数: 0

Abstract

We have been addressing the problem of acquiring attributes of unknown terms through dialogues and previously proposed an approach using the implicit confirmation process. It is crucial for dialogue systems to ask questions that do not diminish the user’s willingness to talk. In this paper, we conducted a user study to investigate user impression for several question types, including explicit and implicit, to acquire lexical knowledge. We clarified the order among the types and found that repeating the same question type annoys the user and degrades user impression even when the content of the questions is correct. We also propose a method for determining whether an estimated attribute is correct, which is included in an implicit question. The method exploits multiple-user responses to implicit questions about the attribute of the same unknown term. Experimental results revealed that the proposed method exhibited a higher precision rate for determining the correctly estimated attributes than when only single-user responses were considered.

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通过隐性确认的对话词汇习得

我们一直在解决通过对话获取未知术语属性的问题，之前提出了一种使用隐式确认过程的方法。对话系统提出的问题不能削弱用户交谈的意愿，这一点至关重要。在本文中，我们进行了一项用户研究，调查用户对几种问题类型的印象，包括显性和隐性，以获得词汇知识。我们澄清了类型之间的顺序，发现即使问题的内容是正确的，重复相同的问题类型也会惹恼用户并降低用户的印象。我们还提出了一种确定估计属性是否正确的方法，该方法包含在隐式问题中。该方法利用多用户对同一未知术语属性的隐式问题的响应。实验结果表明，与仅考虑单个用户的响应相比，该方法在确定正确估计属性方面具有更高的准确率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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期刊介绍： D&D seeks previously unpublished, high quality articles on the analysis of discourse and dialogue that contain -experimental and/or theoretical studies related to the construction,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.