33.1827, Confs: Computational Linguistics/Japan

[The LINGUIST List]

LINGUIST List: Vol-33-1827. Tue May 24 2022. ISSN: 1069 - 4875.

Subject: 33.1827, Confs: Computational Linguistics/Japan

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Date: Tue, 24 May 2022 01:24:38
From: Lukas Galke [Lukas.Galke at mpi.nl]
Subject: Machine Learning and the Evolution of Language (JCoLE 2022 Workshop)

 
Machine Learning and the Evolution of Language (JCoLE 2022 Workshop) 
Short Title: ml4evolang 

Date: 05-Sep-2022 - 09-Sep-2022 
Location: Kanazawa [and Online], Japan 
Contact: Lukas Galke 
Contact Email: Lukas.Galke at mpi.nl 
Meeting URL: https://ml4evolang.github.io/ 

Linguistic Field(s): Computational Linguistics 

Meeting Description: 

We are pleased to announce the workshop ''Machine Learning and the Evolution
of Language: Building a bridge between communities'', which will be held at
JCoLE 2022 (Japan and online, September 5th - 8th, 2022). The workshop will
take place on September 5th, 2022 over two sessions (morning and afternoon,
Japan time).

In the past three decades, numerous studies have attempted to mimic the
evolution of language with human participants and agent-based computational
models. Meanwhile, in the last decade, the machine learning community has
similarly made exciting strides in simulating emergent communication with deep
and reinforcement learning methods.

Although both areas of research have similar interests and work on similar
questions, there has been little crosstalk between them so far. This is
unfortunate, since the progress in machine learning and other areas of AI may
allow language evolution researchers to model phenomena that they could not
model before. At the same time, theoretical and experimental knowledge of
language evolution coming from the linguistics community may help focus models
of emergent communication used by the machine learning community.

The goal of this workshop is therefore to relate these two areas by bringing
together researchers from both backgrounds, establishing common ground,
bootstrapping a mutual dialogue between them, and discussing the potential
pitfalls of incorporating machine learning methods in the study of language
evolution.
 

Program:

Schedule:
https://ml4evolang.github.io/#schedule

The workshop will feature presentations from invited speakers and a lively
panel discussion on the advantages and pitfalls of using emergent
communication with deep learning models as well as more classic agent-based
computational models.

Invited speakers are:

Rahma Chaabouni (DeepMind)
Katie Mudd (AI Lab, Vrije Universiteit Brussel)
Matt Spike (University of Edinburgh)
Douwe Kiela (Huggingface)

For more information on the workshop schedule, please visit:
https://ml4evolang.github.io/

Organizers:
- Mathieu Rita -- PhD student at INRIA 
- Lukas Galke -- Postdoctoral researcher, Max Planck Institute for
Psycholinguistics
- Dr. Florian Strub -- Senior Researcher, DeepMind
- Prof. Olivier Pietquin -- Research Lead - Google Brain
- Prof. Emmanuel Dupoux -- Professor - EHESS / Senior Researcher - Meta AI
Research
- Prof. Bart de Boer -- Senior Researcher, Artificial Intelligence Lab, Vrije
Universiteit Brussel
- Dr. Limor Raviv -- Group Leader, Max Planck Institute for Psycholinguistics





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LINGUIST List: Vol-33-1827	
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