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DaP 2019 : Special issue of CLASP Papers in Computational linguistics (ISSN:2002-9764) on dialogue and perception

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Link: https://clasp.gu.se/publications/clasp-papers-in-computational-linguistics
 
When N/A
Where N/A
Submission Deadline Dec 5, 2018
Notification Due Feb 13, 2019
Final Version Due Mar 27, 2019
Categories    computational linguistics   dialogue systems   language and vision   robotics
 

Call For Papers

Following a successful workshop on Dialogue and Perception (https://clasp.gu.se/news-events/workshop-on-dialogue-and-perception-2018) we are now compiling a volume dedicated to the topics of the workshop.

The study of dialogue investigates how natural language is used in interaction between interlocutors and how coordination and successful communication is achieved. Dialogue is multimodal, situated and embodied, with non-linguistic factors such as attention, eye gaze and gesture critical to understanding communication. However, studies on dialogue have often taken for granted that we align our perceptual representations, which are taken to be part of common ground (grounding in dialogue, Clark, 1996). They have also typically remained silent about how we integrate information from different sources and modalities and the different contribution of each of these. These assumptions are unsustainable when we consider interactions between agents with obviously different perceptual capabilities, as is the case in dialogues between humans and artificial agents, such as avatars or robots.

Contrarily, studies of perception have focussed on how an agent interacts with and interprets the information from their perceptual environment. There is significant research on how language is grounded in perception, how words are connected to perceptual representations and agent’s actions and therefore assigned meaning (grounding in action and perception, Harnad, 1990). In the last decade there has been impressive progress on integrated approaches to language, action, and perception, especially with the introduction of deep learning methods in the field of image descriptions that use end-to-end training from data. However, these have a limited integration to the dynamics of dialogue and often fail to take into account the incremental and context sensitive nature of language and the environment.

The aim of this collection is to initiate a genuine dialogue between these related areas and to examine different approaches from computational, linguistic and psychological perspectives and how these can inform each other.

We invite papers of between 8-12 pages of content and up to two additional pages for references, following the ACL style guidelines.


Submission of papers:

LaTeX style files: http://acl2018.org/downloads/acl18-latex.zip
Word style files: http://acl2018.org/downloads/acl18-word.zip

Important dates:

1. Deadline for submission: 5th December 2018
2. Reviewing completed by: 6th February 2018
3. Camera ready papers due: 27th March 2019


Contact details:
Christine Howes, Simon Dobnik and Ellen Breitholtz
Editors

Centre for Linguistic Theory and Studies in Probability
Department of Philosophy, Linguistics and Theory of Science
University of Gothenburg
Box 200, 405 30 GÖTEBORG

www.christinehowes.com
www.dobnik.net/simon/
www.clasp.gu.se/about/people/ellen-breitholtz

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