29.1336, Calls: Cog Sci, Comp Ling, Lang Acquisition, Psycholing/France

[The LINGUIST List]

LINGUIST List: Vol-29-1336. Mon Mar 26 2018. ISSN: 1069 - 4875.

Subject: 29.1336, Calls: Cog Sci, Comp Ling, Lang Acquisition, Psycholing/France

Moderators: linguist at linguistlist.org (Damir Cavar, Malgorzata E. Cavar)
Reviews: reviews at linguistlist.org (Helen Aristar-Dry, Robert Coté,
                                   Michael Czerniakowski)
Homepage: http://linguistlist.org

Please support the LL editors and operation with a donation at:
           http://funddrive.linguistlist.org/donate/

Editor for this issue: Kenneth Steimel <ken at linguistlist.org>
================================================================


Date: Mon, 26 Mar 2018 18:53:29
From: Aïda Elamrani-Raoult [aida.elamrani-raoult at ens.fr]
Subject: Learning Language in Humans and in Machines 2018 Conference

 
Full Title: Learning Language in Humans and in Machines 2018 Conference 
Short Title: L2HM 2018 

Date: 05-Jul-2018 - 06-Jul-2018
Location: Paris, France 
Contact Person: Conference Legrain
Meeting Email: legrain.lhm at gmail.com
Web Site: https://l2hm2018.sciencesconf.org/ 

Linguistic Field(s): Cognitive Science; Computational Linguistics; Language Acquisition; Psycholinguistics 

Call Deadline: 10-Apr-2018 

Meeting Description:

The psycholinguistic study of human language acquisition can make important
contributions to computational linguistics, and vice versa. The cognitive
mechanisms proposed in psycholinguistic theories can serve as constraints on
computational models that would enable them to learn language as efficiently
as humans do. Experimental designs from psycholinguistics can inspire
computational linguists to evaluate their computational models based on the
similarity of the models to human performance. In the other direction,
computational approaches to language acquisition could be beneficial for the
psycholinguistic community by providing the means to quantitatively evaluate
possible theories of language learning.

L2HM is an interdisciplinary 2-day workshop aimed at bringing together
researchers who work on language acquisition from both psycholinguistic and
computational perspectives. We are especially interested in:

1. Computational studies of language acquisition related questions, using
realistic, large scale data (natural and/or artificial).

2. Psycholinguistic work on language acquisition, either theoretical or
experimental.

Invited Speakers:

Susan Goldin Meadow (U. Chicago)
Afra Alishahi (Tilburg University)
Phil Blunsom (DeepMind, Oxford)
Cynthia Fisher (U. Illinois)
Anne Christophe (ENS)
Chen Yu (U. Indiana)
Michael Frank (Stanford)
Elizabeth Spelke (Harvard/MIT)

https://l2hm2018.sciencesconf.org/page/schedule


2nd Call for Papers:

L2HM 2018: Learning Language in Humans and in Machines 2018
5-6 July, ENS, Paris

Updated Call for Abstracts and Extended Deadline

We invite submissions for poster presentations on experimental and/or modeling
approaches to human and machine language learning by April 10 2018 (23.59
CET).

Submit here : https://l2hm2018.sciencesconf.org/user/submissions

Submission timeline:

February 9: abstract submission opens
April 10: abstract submission deadline 
May 10: notification of abstract acceptance
May 17: camera-ready abstract due 
June 1: poster uploaded to OSF 

Formatting guidelines:

Abstracts must be submitted as plain text.

Abstract text can be a maximum of 500 words (including references if used)

The body of the abstract should be fully anonymous and indicate the current
state of the work (i.e. complete or in progress—both will be considered).

Figures and tables may be appended to the submission in .PNG, .JPG, .TIFF, or
.PDF format (up to four files of max. 4 MB each).

Notification:

Each abstract will be rated by two reviewers for fit with the goals of L2HM,
completeness, methodological and analytical soundness,
originality/innovation/novelty, and clarity. Authors will be notified by May
10, 2018. 

What research topics are relevant for abstract submission?
By its nature, this workshop will be interdisciplinary and methodologically
broad. We provide here some example topics for abstract submissions. This list
is far from exhaustive, so if you are unsure whether your topic is relevant
for the workshop, please don’t hesitate to contact us at
legrain.lhm at gmail.com.

Examples of topics:
One- and “few”-shot learning

Scalability and natural datasets for modelling human development 

Incorporating cognitive constraints into word learning models

How might infants and artificial agents use extra-linguistic cues to learn new
words and understand sentences?

What are the differences and similarities in the learning of nouns, verbs and
function words?

Semantic and syntactic bootstrapping: from developmental evidence to modelling

Need help? Email us at legrain.lhm at gmail.com




------------------------------------------------------------------------------

*****************    LINGUIST List Support    *****************
Please support the LL editors and operation with a donation at:
            http://funddrive.linguistlist.org/donate/
 


----------------------------------------------------------
LINGUIST List: Vol-29-1336	
----------------------------------------------------------