QTUNA: A Corpus for Understanding How Speakers Use Quantification

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

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 proceeding › Conference contribution › Academic › peer-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 language	English
Title of host publication	Proceedings of the 12th International Conference on Natural Language Generation
Place of Publication	Tokyo, Japan
Publisher	Association for Computational Linguistics
Pages	124-129
Number of pages	6
ISBN (Electronic)	978-1-950737-94-9
Publication status	Published - 28 Oct 2019
Event	12th International Conference on Natural Language Generation - National Museum of Emerging Science and Innovation, Tokyo, Japan Duration: 28 Oct 2019 → 1 Nov 2019 https://www.inlg2019.com/

Conference

Conference	12th International Conference on Natural Language Generation
Country/Territory	Japan
City	Tokyo
Period	28/10/19 → 1/11/19
Internet address	https://www.inlg2019.com/

Access to Document

https://www.aclweb.org/anthology/W19-8616.pdf

Cite this

@inproceedings{546bd4094eb74184aecbf487d1425421,

title = "QTUNA: A Corpus for Understanding How Speakers Use Quantification",

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{\textquoteright} 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.",

author = "G. Chen and {van Deemter}, C.J. and Pagliaro Silvia and Louk Smalbil and Chenghua Lin",

year = "2019",

month = oct,

day = "28",

language = "English",

pages = "124--129",

booktitle = "Proceedings of the 12th International Conference on Natural Language Generation",

publisher = "Association for Computational Linguistics",

address = "United States",

note = "12th International Conference on Natural Language Generation ; Conference date: 28-10-2019 Through 01-11-2019",

url = "https://www.inlg2019.com/",

}

Chen, G, van Deemter, CJ, Silvia, P, Smalbil, L & Lin, C 2019, QTUNA: A Corpus for Understanding How Speakers Use Quantification. in Proceedings of the 12th International Conference on Natural Language Generation. Association for Computational Linguistics, Tokyo, Japan, pp. 124-129, 12th International Conference on Natural Language Generation, Tokyo, Japan, 28/10/19. <https://www.aclweb.org/anthology/W19-8616.pdf>

QTUNA: A Corpus for Understanding How Speakers Use Quantification. / Chen, G.; van Deemter, C.J.; Silvia, Pagliaro et al.
Proceedings of the 12th International Conference on Natural Language Generation. Tokyo, Japan: Association for Computational Linguistics, 2019. p. 124-129.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

TY - GEN

T1 - QTUNA: A Corpus for Understanding How Speakers Use Quantification

AU - Chen, G.

AU - van Deemter, C.J.

AU - Silvia, Pagliaro

AU - Smalbil, Louk

AU - Lin, Chenghua

PY - 2019/10/28

Y1 - 2019/10/28

N2 - 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.

AB - 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.

M3 - Conference contribution

SP - 124

EP - 129

BT - Proceedings of the 12th International Conference on Natural Language Generation

PB - Association for Computational Linguistics

CY - Tokyo, Japan

T2 - 12th International Conference on Natural Language Generation

Y2 - 28 October 2019 through 1 November 2019

ER -

QTUNA: A Corpus for Understanding How Speakers Use Quantification

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