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Interfacing language, spatial perception and cognition in Type Theory with Records

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
We argue that computational modelling of perception, action, language, and cognition introduces several requirements of a formal semantic theory and its practical implementations in situated dialogue agents. Using examples of semantic representations of spatial descriptions we show how Type Theory with Records (TTR) satisfies these requirements and provides a promising knowledge representation system for situated agents.
Rocznik
Strony
273--301
Opis fizyczny
Bibliogr. 63 poz., rys.
Twórcy
autor
  • Department of Philosophy, Linguistics & Theory of Science (FLOV), Centre for Linguistic Theory and Studies in Probability (CLASP), University of Gothenburg, Sweden
autor
  • Department of Philosophy, Linguistics & Theory of Science (FLOV), Centre for Linguistic Theory and Studies in Probability (CLASP), University of Gothenburg, Sweden
Bibliografia
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  • [7] Robin Cooper (2017), Adapting Type Theory with Records for Natural Language Semantics, in Stergios Chatzikyriakidis and Zhaohui Luo, editors, Modern Perspectives in Type-Theoretical Semantics, number 98 in Studies in Linguistics and Philosophy, pp. 71-94, Springer.
  • [8] Robin Cooper (in prep), Type theory and language: from perception to linguistic communication, https://sites.google.com/site/typetheorywithrecords/drafts, draft of book chapters.
  • [9] Robin Cooper, Simon Dobnik, Shalom Lappin, and Staffan Larsson (2015), Probabilistic Type Theory and Natural Language Semantics, Linguistic Issues in Language Technology — LiLT, 10 (4): 1-43.
  • [10] Fintan J. Costello and John D. Kelleher (2006), Spatial prepositions in context: the semantics of near in the presence of distractor objects, in Proceedings of the Third ACL-SIGSEM Workshop on Prepositions, Prepositions ’06, pp. 1-8, Association for Computational Linguistics, Stroudsburg, PA, USA.
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  • [18] Simon Dobnik and Erik de Graaf (2017), KILLE: a Framework for Situated Agents for Learning Language Through Interaction, in Jörg Tiedemann, editor, Proceedings of the 21st Nordic Conference on Computational Linguistics (NoDaLiDa), volume 131 of Linköping Electronic Conference Proceedings and NEALT Proceedings Series Vol. 29, pp. 1-10, Northern European Association for Language Technology (NEALT), Linköping University Electronic Press, Gothenburg, Sweden.
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  • [20] Simon Dobnik and John D. Kelleher (2013), Towards an automatic identification of functional and geometric spatial prepositions, in Proceedings of PRE-CogSsci 2013: Production of referring expressions – bridging the gap between cognitive and computational approaches to reference, pp. 1-6, Berlin, Germany.
  • [21] Simon Dobnik and John D. Kelleher (2014), Exploration of functional semantics of prepositions from corpora of descriptions of visual scenes, in Proceedings of the Third V&L Net Workshop on Vision and Language, pp. 33-37, Dublin City University and the Association for Computational Linguistics, Dublin, Ireland.
  • [22] Simon Dobnik and John D. Kelleher (2016), A Model for Attention-Driven Judgements in Type Theory with Records, in Julie Hunter, Mandy Simons, and Matthew Stone, editors, JerSem: The 20th Workshop on the Semantics and Pragmatics of Dialogue, volume 20, pp. 25-34, New Brunswick, NJ USA.
  • [23] Simon Dobnik, John D. Kelleher, and Christos Koniaris (2014), Priming and Alignment of Frame of Reference in Situated Conversation, in Verena Rieser and Philippe Muller, editors, Proceedings of DialWatt – Semdial 2014: The 18th Workshop on the Semantics and Pragmatics of Dialogue, pp. 43-52, Edinburgh.
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  • [29] Klaus-Peter Gapp (1994a), Basic Meanings of Spatial Relations: Computation and Evaluation in 3D Space, in Barbara Hayes-Roth and Richard E. Korf, editors, AAAI, pp. 1393-1398, AAAI Press/The MIT Press.
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  • [35] John D. Kelleher, Fintan J. Costello, and Josef van Genabith (2005), Dynamically Structuring Updating and Interrelating Representations of Visual and Linguistic Discourse, Artificial Intelligence, 167: 62-102.
  • [36] D. Kelleher, Robert J. Ross, Colm Sloan, and Brian Mac Namee (John 2011), The effect of occlusion on the semantics of projective spatial terms: a case study in grounding language in perception, Cognitive Processing, 12 (1): 95-108.
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  • [38] Lars Kunze, Chris Burbridge, and Nick Hawes (2014), Bootstrapping Probabilistic Models of Qualitative Spatial Relations for Active Visual Object Search, in AAAI Spring Symposium 2014 on Qualitative Representations for Robots, Stanford University in Palo Alto, California, US.
  • [39] Shalom Lappin (2013), Intensions as Computable Functions, Linguistic Issues in Language Technology, 9: 1-12.
  • [40] Staffan Larsson (2015), Formal semantics for perceptual classification, Journal of Logic and Computation, 25 (2): 335-369.
  • [41] Daniel Lassiter (2011), Vagueness as probabilistic linguistic knowledge, in Proceedings of the international conference on vagueness in Communications (ViC’09), pp. 127-150, Springer-Verlag, Berlin, Heidelberg.
  • [42] Stanislao Lauria, Guido Bugmann, Theocharis Kyriacou, and Ewan Klein (2002), Mobile robot programming using natural language, Robotics and Autonomous Systems, 38 (3-4): 171-181.
  • [43] Emilie L. Lin and Gregory L. Murphy (2001), Thematic relations in adults’ concepts, Journal of experimental psychology: General, 130 (1): 3-28.
  • [44] Gordon D. Logan and Daniel D. Sadler (1996), A computational analysis of the apprehension of spatial relations, in Paul Bloom, Mary A. Peterson, Lynn Nadel, and Merrill F. Garrett, editors, Language and Space, pp. 493-530, MIT Press, Cambridge, MA.
  • [45] Didier Maillat (2003), The semantics and pragmatics of directionals: a case study in English and French, Ph.D. thesis, University of Oxford: Committee for Comparative Philology and General Linguistics, Oxford, United Kingdom.
  • [46] Per Martin-Löf (1984), Intuitionistic Type Theory, Bibliopolis, Naples.
  • [47] Cynthia Matuszek, Nicholas FitzGerald, Luke Zettlemoyer, Liefeng Bo, and Dieter Fox (2012a), A joint model of language and perception for grounded attribute learning, in John Langford and Joelle Pineau, editors, Proceedings of the 29th International Conference on Machine Learning (ICML 2012), Edinburgh, Scotland.
  • [48] Cynthia Matuszek, Evan Herbst, Luke Zettlemoyer, and Dieter Fox (2012b), Learning to Parse Natural Language Commands to a Robot Control System, in Proceedings of the 13th International Symposium on Experimental Robotics (ISER).
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  • [50] Richard Montague (1974), Formal Philosophy: Selected Papers of Richard Montague, Yale University Press, New Haven, ed. and with an introduction by Richmond H. Thomason.
  • [51] Bengt Nordström, Kent Petersson, and Jan M. Smith (1990), Programming in Martin-Löf’s Type Theory, volume 7 of International Series of Monographs on Computer Science, Clarendon Press, Oxford.
  • [52] Martin J. Pickering and Simon Garrod (2004), Toward a mechanistic psychology of dialogue, Behavioral and Brain Sciences, 27 (2): 169-190.
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  • [55] Deb Roy (2002), Learning visually-grounded words and syntax for a scene description task, Computer speech and language, 16 (3): 353-385.
  • [56] Deb Roy (2005), Semiotic schemas: a framework for grounding language in action and perception, Artificial Intelligence, 167 (1-2): 170-205.
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  • [59] Luc Steels and Tony Belpaeme (2005), Coordinating Perceptually Grounded Categories Through Language: A Case Study For Colour, Behavioral and Brain Sciences, 28 (4): 469-489.
  • [60] Luc Steels and Martin Loetzsch (2009), Perspective Alignment in Spatial Language, in Kenny R. Coventry, Thora Tenbrink, and John. A. Bateman, editors, Spatial Language and Dialogue, Oxford University Press.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-a2a63061-babe-49ab-b29e-e7c806e48765
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