33.2215, Calls: Computational Linguistics, Text/Corpus Linguistics/Lithuania

[The LINGUIST List]

LINGUIST List: Vol-33-2215. Wed Jul 06 2022. ISSN: 1069 - 4875.

Subject: 33.2215, Calls: Computational Linguistics, Text/Corpus Linguistics/Lithuania

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Date: Wed, 06 Jul 2022 23:07:20
From: Radovan Garabík [radovan.garabik at kassiopeia.juls.savba.sk]
Subject: Workshop on Deep Learning and Neural Approaches for Linguistic Linked Data 2

 
Full Title: Workshop on Deep Learning and Neural Approaches for Linguistic Linked Data 2 
Short Title: DL4LD 

Date: 22-Sep-2022 - 22-Sep-2022
Location: Vilnius, Lithuania 
Contact Person: Radovan Garabik
Meeting Email: radovan.garabik at kassiopeia.juls.savba.sk
Web Site: http://llodapproaches2022.mruni.eu/?page_id=239 

Linguistic Field(s): Computational Linguistics; Text/Corpus Linguistics 

Call Deadline: 14-Aug-2022 

Meeting Description:

As a follow-up to the First Workshop on Deep Learning and Neural Approaches
for Linguistic Data in 2021, this workshop aims at bringing together deep
learning and neural approaches with linguistic linked data. We invite research
papers, application descriptions, system demonstrations, and position papers
that discuss the interconnection of both areas.


Call for Papers:

A workshop on neural approaches for linguistic linked data will be held In
conjunction with the conference. This is the second workshop on the topic,
following the the first one held on 30 September 2021.

Workshop will be a hybrid event, both online and face to face.

As a follow-up to the First Workshop on Deep Learning and Neural Approaches
for Linguistic Data in 2021, this workshop aims at bringing together deep
learning and neural approaches with linguistic linked data. We invite research
papers, application descriptions, system demonstrations, and position papers
that discuss the interconnection of both areas.

Relevant topics for the workshop include, but are not limited to, the
following areas:

Deep Learning for Linguistic Linked (Open) Data, modeling, resources &
interlinking
LLOD and Deep Learning for Digital Humanities
Enhancement of language models with structured linguistic data
Use cases combining language models and structured linguistic data
Deep Learning and LLOD in NLP
Submissions in the form of extended abstracts will be published in an online
book of abstracts.

Length: max. 2 pages including references
Format: Springer Lecture Notes in Computer Science (LNCS); LaTeX, Overleaf,
OpenDocument or MS Word
Registration and participation: free of charge
Submission link: https://easychair.org/my/conference?conf=nexuslinguarumdl2022
Optionally, extended versions of the abstracts can be submitted as full papers
describing original research to the special issue of the Rasprave journal
(subject to a separate peer review process; more information:
http://llodapproaches2022.mruni.eu/?page_id=16, deadline: 1 December 2022)




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LINGUIST List: Vol-33-2215	
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