Toward dialogue modeling: A semantic annotation scheme for questions and answers

María Andrea Cruz Blandón, Gosse Minnema, Aria Nourbakhsh, Maria Bortichev, Maxime Amblard

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The present study proposes an annotation scheme for classifying the content and discourse contribution of question-answer pairs. We propose detailed guidelines for using the scheme and apply them to dialogues in English, Spanish, and Dutch. Finally, we report on initial machine learning experiments for automatic annotation.

Original languageEnglish
Title of host publicationLAW 2019 - 13th Linguistic Annotation Workshop, Proceedings of the Workshop
PublisherAssociation for Computational Linguistics (ACL)
Pages230-235
Number of pages6
ISBN (Electronic)9781950737383
Publication statusPublished - 1 Jan 2019
Externally publishedYes
Event13th Linguistic Annotation Workshop, LAW 2019, held in conjunction with the Annual Meeting of the Association for Computational Linguistics, ACL 2019 - Florence, Italy
Duration: 1 Aug 2019 → …

Publication series

NameLAW 2019 - 13th Linguistic Annotation Workshop, Proceedings of the Workshop

Conference

Conference13th Linguistic Annotation Workshop, LAW 2019, held in conjunction with the Annual Meeting of the Association for Computational Linguistics, ACL 2019
Country/TerritoryItaly
CityFlorence
Period1/08/19 → …

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