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KTH Tangrams: A Dataset for Research on Alignment and Conceptual Pacts in Task-Oriented Dialogue
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.
KTH, School of Electrical Engineering and Computer Science (EECS), Intelligent systems, Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-8579-1790
2019 (English)In: LREC 2018 - 11th International Conference on Language Resources and Evaluation, Tokyo, 2019, p. 768-775Conference paper, Published paper (Refereed)
Abstract [en]

There is a growing body of research focused on task-oriented instructor-manipulator dialogue, whereby one dialogue participant initiates a reference to an entity in a common environment while the other participant must resolve this reference in order to manipulate said entity. Many of these works are based on disparate if nevertheless similar datasets. This paper described an English corpus of referring expressions in relatively free, unrestricted dialogue with physical features generated in a simulation, which facilitate analysis of dialogic linguistic phenomena regarding alignment in the formation of referring expressions known as conceptual pacts.

Place, publisher, year, edition, pages
Tokyo, 2019. p. 768-775
National Category
Natural Language Processing
Identifiers
URN: urn:nbn:se:kth:diva-232957ISI: 000725545000123Scopus ID: 2-s2.0-85059895102OAI: oai:DiVA.org:kth-232957DiVA, id: diva2:1236936
Conference
11th International Conference on Language Resources and Evaluation, LREC 2018, Phoenix Seagaia Conference Center Miyazaki, Japan, 7 May 2018 through 12 May 2018
Projects
tmh_grounding
Note

QC 20180809

Available from: 2018-08-06 Created: 2018-08-06 Last updated: 2025-02-07Bibliographically approved

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fulltext(948 kB)316 downloads
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Type fulltextMimetype application/pdf

Scopus

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Shore, ToddSkantze, Gabriel

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
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