35.1604, Calls: Multimodality and Interaction in Language Learning
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LINGUIST List: Vol-35-1604. Thu May 30 2024. ISSN: 1069 - 4875.
Subject: 35.1604, Calls: Multimodality and Interaction in Language Learning
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Date: 21-May-2024
From: Bill Noble [bill.noble at gu.se]
Subject: Multimodality and Interaction in Language Learning
Full Title: Multimodality and Interaction in Language Learning
Short Title: MILLing
Date: 14-Oct-2024 - 15-Oct-2024
Location: Gothenburg, Sweden
Contact Person: Bill Noble
Meeting Email: bill.noble at gu.se
Web Site: https://gu-clasp.github.io/MILLing/
Linguistic Field(s): Cognitive Science; Computational Linguistics;
Language Acquisition; Psycholinguistics
Subject Language(s): English (eng)
Call Deadline: 31-May-2024
https://gu-clasp.github.io/MILLing
Multimodality and Interaction in Language Learning (MILLing) will
bring together researchers in linguistics and computational
linguistics to discuss learning through linguistic interaction, from
the perspectives of both human language acquisition and machine
learning. We encourage contributions from the fields of theoretical
linguistics,
experimental linguistics, pragmatics, computational linguistics,
artificial intelligence, and cognitive science.
The conference is organised by the Centre for Linguistic Theory and
Studies in Probability (CLASP, <https://gu-clasp.github.io/>),
University of Gothenburg. The conference will be held between October
14 and 15 in Gothenburg, Sweden.
Important dates
----
- Submission deadline: May 31, 2024, anywhere on Earth
- Notification of acceptance: Aug 30, 2024, anywhere on Earth
- Camera ready: Sep 20, 2024, anywhere on Earth
- Conference: Oct 14--15, 2024, University of Gothenburg, Sweden
Topics of interest
----
We hope to see innovative work that
considers language learning from different perspectives, and we hope
to cultivate discussion that reaches across traditionally disparate
disciplines. Papers are invited on topics in these and closely related
areas, including (but not limited to) the following:
- Language acquisition: formal, statistical, experimental, and machine
learning-based work
- Language learning through dialogue in humans and machines
- Multi-modality and figurativeness in language learning and dialogue
- Linguistic variation, adaptation, and audience design
- Low-resource and ecologically plausible language modelling (e.g.,
BabyLM)
- Cognitive architectures for language learning
- Information state update in humans and machines
- Cognitive approaches to second language acquisition
- Dialogue systems for language learning
- Online, reinforcement and curriculum learning in NLP
- Atypical development and language learning
- Ethical considerations in AI-assisted language learning
Submission Requirements
----
MILLing will feature two types of submissions: long papers and short
papers. Long papers must describe original research, and they must not
exceed 8 pages excluding references (position papers are also accepted
and should be formatted in the same way). Short papers present work in
progress, or they describe systems and/or projects. They must not
exceed 4 pages excluding references. All types of papers will be
published in the 2024 ACL Anthology as a CLASP Conference Proceedings.
Papers should be electronically submitted via the softconf system at:
<https://softconf.com/n/MILLing2024/>. Submissions should be PDF files
and use the LaTeX or Word templates provided for ACL submissions
(<https://github.com/acl-org/acl-style-files>). Submissions have to be
anonymous. Please make sure that you select the right track when
submitting your paper. Contact the organisers if you have problems
using softconf.
Non-archival track
----
At the time of submission, authors may indicate that their paper
should be
considered for the non-archival track. The format for non-archival
submissions
is the same for both long and short papers. Non-archival papers will
also
undergo peer review.
Concurrent Submissions
----
Papers that have been or will be submitted to other conferences or
publications must indicate this at submission time using a footnote on
the title page of the submissions. Authors of papers accepted for
present
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