[with apologies for cross-posting] CALL FOR PAPERS Workshop on Semantic Spaces at the Intersection of NLP, Physics, and Cognitive Sciences https://sites.google.com/view/semspace2020/home <https://sites.google.com/view/semspace2020/home> Co-located with ESSLLI 2020 (https://www.esslli.eu/ <https://www.esslli.eu/>) August 8th and 9th 2020 Utrecht, The Netherlands **** AIMS AND SCOPE Vector embeddings of word meanings have become a mainstream tool in large scale natural language processing tools. The use of vectors to represent meanings in semantic spaces or feature spaces is also employed in cognitive science. Unrelated to natural language and cognitive science, vectors and vector spaces have been extensively used as models of physical theories and especially the theory of quantum mechanics. Crucial similarities between the vector representations of quantum mechanics and those of natural language are exhibited via bicompact linear logic and compact closed categorical structures in natural language. Exploiting the common ground provided by vector spaces, the proposed workshop will bring together researchers working at the intersection of NLP, cognitive science, and physics, offering to them an appropriate forum for presenting their uniquely motivated work and ideas. The interplay between these three disciplines will foster theoretically motivated approaches to understanding how meanings of words interact with each other in sentences and discourse via grammatical types, how they are determined by input from the world, and how word and sentence meanings interact logically. Topics of interest include (but are not restricted to): Reasoning in semantic spaces Compositionality in semantic spaces and conceptual spaces Conceptual spaces in linguistics and natural language processing Applications of quantum logic in natural language processing and cognitive science Modelling functional words such as prepositions and relative pronouns in compositional distributional models of meaning Diagrammatic reasoning for natural language processing and cognitive science Modelling so-called ‘non-compositional’ phenomena such as metaphor SPECIAL SESSION We will have a special session on the relevance of formal grammar methods in deep learning and other statistical and vector space approaches to language. Examples of phenomena where these methods come into play include (but of course are not limited to) anaphora resolution, long-range filler-gap dependencies, function-argument relations, locality domains, and syntactic structures in general. This session is organised jointly with the Formal Grammar conference (http://fg.phil.hhu.de/2020/ <http://fg.phil.hhu.de/2020/>) SUBMISSIONS: There are *two separate routes* for submission: either to the Formal Grammar shared session or to the main SEMSPACE workshop. Submission to the shared session with Formal Grammar should adhere to the submission guidelines at http://fg.phil.hhu.de/2020/#Submission_Details <http://fg.phil.hhu.de/2020/#Submission_Details>. Note that the deadline for the special session is 15th March 2020. Submission to the main SEMSPACE workshop: Electronic submission of original contributions (up to 16 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=semspace2020 <https://easychair.org/conferences/?conf=semspace2020> A special issue of selected extended papers will be prepared following the workshop. Only original contributions will be considered for publication. Please send any queries to semspace2020@easychair.org <mailto:semspace2020@easychair.org> IMPORTANT DATES: Paper submission to shared session with Formal Grammar: 15th March 2020 Paper submission to SEMSPACE main workshop: 24th April 2020 Notification to contributors (SEMSPACE main workshop): 1st June 2020 Workshop dates: 8th-9th August 2020 SPEAKERS TBC PROGRAMME COMMITTEE Bob Coecke, University of Oxford Stefano Gogioso, University of Oxford Giuseppe Greco, Utrecht University Peter Gärdenfors, Lund University Helle Hvid Hansen, Delft University of Technology Jules Hedges, Max Planck Institute for Mathematics in the Sciences Peter Hines, University of York Alexander Kurz, Chapman University Antonio Lieto, University of Turin, Department of Computer Science Dan Marsden, University of Oxford Michael Moortgat, Utrecht University Richard Moot, CNRS (LIRMM) & University of Montpellier Dusko Pavlovic, University of Hawaii Emmanuel Pothos, City University London Matthew Purver, Queen Mary University of London Mehrnoosh Sadrzadeh, University College London Giovanni Sileno, University of Amsterdam Pawel Sobocinski, Tallinn University of Technology Oriol Valentín, Universitat Politècnica de Catalunya Dominic Widdows, Grab Geraint Wiggins, Vrije Universiteit Brussel / Queen Mary University of London Frank Zenker, Lund University ORGANIZATION COMMITTEE Martha Lewis, ILLC, University of Amsterdam Michael Moortgat, Utrecht University [For admin and other information see: http://www.mta.ca/~cat-dist/ ]