Modelling the Polysemy of Spatial Prepositions in Referring Expressions

Richard-Bollans, A orcid.org/0000-0003-1980-0107, Gomez Alvarez, L and Cohn, AG orcid.org/0000-0002-7652-8907 (2020) Modelling the Polysemy of Spatial Prepositions in Referring Expressions. In: Calvanese, D, Erdem, E and Thielscher, M, (eds.) Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning. 17th International Conference on Principles of Knowledge Representation and Reasoning, 12-18 Sep 2020, Rhodes, Greece. IJCAI Organization , pp. 703-712. ISBN 978-0-9992411-7-2

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Copyright, Publisher and Additional Information: © 2020 International Joint Conferences on Artificial Intelligence Organization. This is an author produced version of an article published in Proceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: KR and natural language processing and understanding-General Concept formation, similarity-based reasoning-General Geometric, spatial, and temporal reasoning-General Uncertainty, vagueness, many-valued and fuzzy logics-General
Dates:
  • Accepted: 3 June 2020
  • Published: July 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
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Alan Turing InstituteNo ref given
Depositing User: Symplectic Publications
Date Deposited: 04 Jun 2020 15:55
Last Modified: 22 Feb 2022 16:03
Status: Published
Publisher: IJCAI Organization
Identification Number: https://doi.org/10.24963/kr.2020/72
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