On the Need for Thoughtful Data Collection for Multi-Party Dialogue: A Survey of Available Corpora and Collection Methods

被引：0

作者：

Mahajan, Khyati ^{[1
]}

Shaikh, Samira ^{[1
]}

机构：

[1] Univ North Carolina Charlotte, Dept Comp Sci, Charlotte, NC 28223 USA

来源：

SIGDIAL 2021: 22ND ANNUAL MEETING OF THE SPECIAL INTEREST GROUP ON DISCOURSE AND DIALOGUE (SIGDIAL 2021) | 2021年

关键词：

TURN-TAKING; CORPUS; BEHAVIOR; DESIGN; MODEL;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a comprehensive survey of available corpora for multi-party dialogue. We survey over 300 publications related to multi-party dialogue and catalogue all available corpora in a novel taxonomy. We analyze methods of data collection for multi-party dialogue corpora and identify several lacunae in existing data collection approaches used to collect such dialogue. We present this survey, the first survey to focus exclusively on multi-party dialogue corpora, to motivate research in this area. Through our discussion of existing data collection methods, we identify desiderata and guiding principles for multi-party data collection to contribute further towards advancing this area of dialogue research.

引用

页码：338 / 352

页数：15

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