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Enhancing reference resolution in dialogue using participant feedback
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-8579-1790
2017 (English)In: Proc. GLU 2017 International Workshop on Grounding Language Understanding, Stockholm, Sweden: International Speech Communication Association, 2017, p. 78-82Conference paper, Published paper (Refereed)
Abstract [en]

Expressions used to refer to entities in a common environment do not originate solely from one participant in a dialogue but are formed collaboratively. It is possible to train a model for resolving these referring expressions (REs) in a static manner using an appropriate corpus, but, due to the collaborative nature of their formation, REs are highly dependent not only on attributes of the referent in question (e.g. color, shape) but also on the dialogue participants themselves. As a proof of concept, we improved the accuracy of a words-as-classifiers logistic regression  model  by  incorporating  knowledge about  accepting/rejecting REs proposed from other participants.

Place, publisher, year, edition, pages
Stockholm, Sweden: International Speech Communication Association, 2017. p. 78-82
Keywords [en]
dialogue, situated, reference resolution, alignment, dialogue feedback, grounding
National Category
Language Technology (Computational Linguistics)
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-213034DOI: 10.21437/GLU.2017-16OAI: oai:DiVA.org:kth-213034DiVA, id: diva2:1136664
Conference
GLU 2017 International Workshop on Grounding Language Understanding, August 25, 2017, KTH Royal Institute of Technology, Stockholm, Sweden
Projects
SSF COIN
Funder
Swedish Foundation for Strategic Research
Note

QC 20170906

Available from: 2017-08-28 Created: 2017-08-28 Last updated: 2018-03-01Bibliographically approved

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Shore, ToddSkantze, Gabriel
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • 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
  • rtf