Workshop on Compositional Approaches in Physics, NLP, and Social Sciences
September 2 2018 Nice, France
Compositional Approaches for NLP, Physics, and Social Sciences (CAPNS 2018) will be colocated with QI 2018 (http://qi2018.quantum-interaction.org/). The workshop is a continuation and extension of the Workshop on Semantic Spaces at the Intersection of NLP, Physics and Cognitive Science (https://sites.google.com/site/semspworkshop/) held in June 2016.
AIMS AND SCOPE
The ability to compose parts to form a more complex whole, and to analyze a whole as a combination of elements, is desirable across disciplines. In this workshop we bring together researchers applying compositional approaches to NLP, Physics, Cognitive Science, and Game Theory. The categorical model of Coecke et al. , inspired by quantum protocols, has provided a convincing account of compositionality in vector space models of NLP. Similar category-theoretic approaches have been applied in cognitive science, and now are being extended to game theory. The interplay between the three disciplines will foster theoretically motivated approaches to understanding how meanings of words interact in sentences and discourse, how concepts develop, and how complex games can be analyzed. Commonalities between the compositional mechanisms employed may be extracted, and applications and phenomena traditionally thought of as 'non-compositional' will be examined.
Topics of interests include (but are not restricted to): Applications of quantum logic in natural language processing and cognitive science Compositionality in vector space models of meaning Compositionality in conceptual spaces Compositional approaches to game theory Reasoning in vector spaces and conceptual spaces Conceptual spaces in linguistics Game-theoretic models of language and conceptual change Category-theoretic diagrammatic reasoning for natural language processing, cognitive science, and game theory Compositional explanations of so-called 'non-compositional' phenomena such as metaphor
June 30th: Paper submission July 15th: Notification to contributors September 2nd: Workshop date
Gerhard Jäger, Professor of General Linguistics, University of Tübingen Paul Smolensky, Principal Researcher, Microsoft Research, and Krieger-Eisenhower Professor of Cognitive Science, Johns Hopkins University
We invite: Original contributions (up to 12 pages) of previously unpublished work. Submission of substantial, albeit partial results of work in progress is welcomed.
Extended abstracts (3 pages) of previously published work that is recent and relevant to the workshop. These should include a link to a separately published paper or preprint.
Contributions should be submitted at: https://easychair.org/conferences/?conf=capns2018
Peter Bruza, Queensland University of Technology Trevor Cohen, University of Texas Fredrik Nordvall Forsberg, University of Strathclyde Liane Gabora, University of British Columbia Peter Gärdenfors, Lund University Helle Hvid Hansen, TU Delft Chris Heunen, University of Edinburgh Peter Hines, University of York Alexander Kurz, University of Leicester Antonio Lieto, University of Turin Glyn Morrill, Universitat Politècnica de Catalunya Dusko Pavlovic, University of Hawaii Taher Pilehvar, University of Cambridge Emmanuel Pothos, City, University of London Matthew Purver, Queen Mary University of London Mehrnoosh Sadrzadeh, Queen Mary University of London Marta Sznajder, Munich Center for Mathematical Philosophy Pawel Sobocinski, University of Southampton Dominic Widdows, Grab Technologies Geraint Wiggins, Vrije Universiteit Brussel Victor Winschel, OICOS GmbH Philipp Zahn, University of St. Gallen Frank Zenker, University of Konstanz
Bob Coecke, University of Oxford Jules Hedges, University of Oxford Dimitri Kartsaklis, University of Cambridge Martha Lewis, ILLC, University of Amsterdam Dan Marsden, University of Oxford
====================================== Dr Dimitrios Kartsaklis Research Associate Department of Theoretical and Applied Linguistics University of Cambridge https://www.mml.cam.ac.uk/dk426 ======================================