QTUNA: A Corpus for Understanding How Speakers Use Quantification

G. Chen, C.J. van Deemter, Pagliaro Silvia, Louk Smalbil, Chenghua Lin

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

Abstract

A prominent strand of work in formal semantics investigates the ways in which human languages quantify over the elements of a set, as when we say “All A are B ”, “All except two A are B ”, “Only a few of the A are B ” and so on. Our aim is to build Natural Language Generation algorithms that mimic humans’ use of quantified expressions. To inform these algorithms, we conducted on a series of elicitation experiments in which human speakers were asked to perform a linguistic task that invites the use of quantified expressions. We discuss how these experiments were conducted and what corpora they gave rise to. We conduct an informal analysis of the corpora, and offer an initial assessment of the challenges that these corpora pose for Natural Language Generation.
Original languageEnglish
Title of host publicationProceedings of the 12th International Conference on Natural Language Generation
Place of PublicationTokyo, Japan
PublisherAssociation for Computational Linguistics (ACL)
Pages124-129
Number of pages6
ISBN (Electronic)978-1-950737-94-9
Publication statusPublished - 28 Oct 2019
Event12th International Conference on Natural Language Generation - National Museum of Emerging Science and Innovation, Tokyo, Japan
Duration: 28 Oct 20191 Nov 2019
https://www.inlg2019.com/

Conference

Conference12th International Conference on Natural Language Generation
Country/TerritoryJapan
CityTokyo
Period28/10/191/11/19
Internet address

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