33.1826, Calls: Computational Linguistics/Japan

[The LINGUIST List]

LINGUIST List: Vol-33-1826. Tue May 24 2022. ISSN: 1069 - 4875.

Subject: 33.1826, Calls: Computational Linguistics/Japan

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Date: Tue, 24 May 2022 01:22:45
From: Lukas Galke [Lukas.Galke at mpi.nl]
Subject: Machine Learning and the Evolution of Language (JCoLE 2022 Workshop)

 
Full Title: 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 Person: Lukas Galke
Meeting Email: Lukas.Galke at mpi.nl
Web Site: https://ml4evolang.github.io/ 

Linguistic Field(s): Computational Linguistics 

Call Deadline: 25-Jun-2022 

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.


Call for Papers:

We welcome submissions of abstracts of **up to 300 words** on the basis of
new, in-progress, or already published work whose content is relevant to the
topics of the workshop, including but not limited to:

- Machine learning methods for understanding language evolution
- Emergent communication with reinforcement learning
- Agent-based modeling of language evolution

**Deadline for submission is June 25, 2022**. Accepted submissions will be
presented in a poster session in the workshop. To submit your abstract, please
visit: https://openreview.net/group?id=JCoLE/2022/Workshop/ml4evolang

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-33-1826	
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