31.545, Calls: Comp Ling, Neuroling, Pragmatics, Psycholing, Semantics/Spain

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LINGUIST List: Vol-31-545. Thu Feb 06 2020. ISSN: 1069 - 4875.

Subject: 31.545, Calls: Comp Ling, Neuroling, Pragmatics, Psycholing, Semantics/Spain

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Date: Thu, 06 Feb 2020 15:34:22
From: Matthijs Westera [matthijs.westera at gmail.com]
Subject: GeCKo symposium: Integrating Generic and Contextual Knowledge

 
Full Title: GeCKo symposium: Integrating Generic and Contextual Knowledge 
Short Title: GeCKo 

Date: 18-May-2020 - 18-May-2020
Location: Barcelona, Spain 
Contact Person: Matthijs Westera
Meeting Email: gecko.sympo at gmail.com
Web Site: https://sites.google.com/view/gecko2020/ 

Linguistic Field(s): Computational Linguistics; Neurolinguistics; Pragmatics; Psycholinguistics; Semantics 

Call Deadline: 14-Feb-2020 

Meeting Description:

Integrating generic and contextual knowledge remains a challenging task in
Computational Linguistics and interfacing fields. While current data-driven
models excel in capturing broad regularities, they can fail to apply this
information to specific situations. For the GeCKo symposium we seek
contributions dealing with this issue, at the crossroads of Computational
Linguistics, Machine Learning, Linguistics, and Cognitive Science; including
areas such as Language and Vision, and Machine Translation. 
For both humans and computational models, it is essential to be able to
abstract away from specific instances to broader categories, e.g. to build a
generic concept for ''bird'' from instances of birds. But modelling specific
situations is equally essential; for instance to be able to understand the
sentence ''that bird is about to peck you'' and react accordingly. Current
data-driven models excel at distilling generic knowledge acquired over time,
such as knowledge reflected by which words or objects tend to co-occur.
However, they can still struggle with specific situations, which require fast
recognition of individual elements, such as entities, events, and
relationships, and the ability to reason about them. In the literature, the
relation between generic and contextual knowledge surfaces in dichotomies such
as:
- lexical/conceptual/generic vs.
contextual(ized)/grounded/situated/referential/utterance-specific information;
- category/type/kind vs. instance/token;
- semantics vs. pragmatics;
- semantic vs. episodic memory;
- slow vs. fast learning.

The GeCKo symposium seeks to 1) understand the issues involved in the
integration of generic and situation-specific information in Computational
Linguistics, across applications and research areas; 2) identify ways forward;
and 3) cross-fertilize Computational Linguistics with Machine Learning,
Linguistics, and Cognitive Science researchers working at this junction.

The GeCKo symposium will feature talks by invited speakers, contributed talks,
as well as a poster session preceded by lightning talks.

Invited Speakers: 
Aishwarya Agrawal, DeepMind (TBC)
Raquel Fernandez, University of Amsterdam
Aurelie Herbelot, University of Trento
Shalom Lappin, University of Gothenburg
Tomas Mikolov, Facebook AI Research
Aida Nematzadeh, DeepMind
Rico Sennrich, University of Zurich

Dates: 
Submission due: February 14, 2020, 11:59PM UTC-12:00 (''anywhere on Earth'')
Notification of acceptance: March 13, 2020
GeCKo symposium: May 18, 2020


Call for Papers: 

We seek contributions of published work as well as unpublished research, of
the following, non-exclusive types:
- Analysis: what kind of situation-specific information can current models
capture; what can't they?
- Modelling: models and/or tasks aimed at integrating generic and
situation-specific information in any area related to CL/NLP.
- Cross-fertilizing: how can computational models of language integrate
current findings in Linguistics, Cognitive Science, and Machine Learning about
generic vs. situation-specific information? How can our results inform those
fields in turn?
- Position papers and surveys outlining the issues involved and ways forward.

The GeCKo symposium invites the submission of two kinds of contributions:
-  Published research: contributions published in other venues -- the
submission form asks for a link to the publication.
- Unpublished research: abstracts presenting unpublished work, including work
under review elsewhere, or ongoing efforts -- anonymous, 1 page plus
references.

Accepted submissions will be allocated to either poster or oral presentation;
posters will be introduced by lightning talks. There will be no archival GeCKo
proceedings.

The submission form is available at: https://sites.google.com/view/gecko2020




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