30.4569, Calls: Applied Ling, Comp Ling, Ling & Literature, Text/Corpus Ling/Spain

[The LINGUIST List]

LINGUIST List: Vol-30-4569. Mon Dec 02 2019. ISSN: 1069 - 4875.

Subject: 30.4569, Calls: Applied Ling, Comp Ling, Ling & Literature, Text/Corpus Ling/Spain

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Date: Mon, 02 Dec 2019 15:31:28
From: Anna Kazantseva [anna at anna-kazantseva.com]
Subject: 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature

 
Full Title: 4th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature 
Short Title: LaTeCH-CLfL 2020 

Date: 13-Sep-2020 - 13-Sep-2020
Location: Barcelona, Spain 
Contact Person: Anna Kazantseva
Meeting Email: anna at anna-kazantseva.com
Web Site: https://sighum.wordpress.com/events/latech-clfl-2020/ 

Linguistic Field(s): Applied Linguistics; Computational Linguistics; Ling & Literature; Text/Corpus Linguistics 

Call Deadline: 20-May-2020 

Meeting Description:

LaTeCH-CLfL 2020 is a fourth joint meeting of two communities with overlapping
research goals and a similar research focus. The SIGHUM Workshops on Language
Technology for Cultural Heritage, Social Sciences, and Humanities (LaTeCH)
have been a forum for researchers who develop new technologies for improved
information access to data from the broadly understood humanities and social
sciences. The ACL Workshops on Computational Linguistics for Literature (CLfL)
have focussed on applications of NLP to a wide variety of literary data. The
first three joint workshop (LaTeCH-CLfL 2017, 2018 and 2019) brought together
people from both communities. We count on this workshop to broaden the scope
of our work even further, and to encourage new common research initiatives.


Call for Papers:

Topics and Content

In the Humanities, Social Sciences, Cultural Heritage and literary
communities, there is increasing interest in, and demand for, NLP methods for
semantic and structural annotation, intelligent linking, discovery, querying,
cleaning and visualization of both primary and secondary data. This is even
true of primarily non-textual collections, given that text is also the
pervasive medium for metadata. Such applications pose new challenges for NLP
research: noisy, non-standard textual or multi-modal input, historical
languages, vague research concepts, multilingual parts within one document,
and so no. Digital resources often have insufficient coverage;
resource-intensive methods require (semi-)automatic processing tools and
domain adaptation, or intense manual effort (e.g., annotation).

Literary texts bring their own problems, because navigating this form of
creative expression requires more than the typical information-seeking tools.
Examples of advanced tasks include the study of literature of a certain
period, author or sub-genre, recognition of certain literary devices, or
quantitative analysis of poetry.

NLP methods applied in this context not only need to achieve high performance,
but are often applied as a first step in research or scholarly workflow. That
is why it is crucial to interpret model results properly; model
interpretability might be more important than raw performance scores,
depending on the context.

More generally, there is a growing interest in computational models whose
results can be used or interpreted in meaningful ways. It is, therefore, of
mutual benefit that NLP experts, data specialists and Digital Humanities
researchers who work in and across their domains get involved in the
Computational Linguistics community and present their fundamental or applied
research results. It has already been demonstrated how cross-disciplinary
exchange not only supports work in the Humanities, Social Sciences, and
Cultural Heritage communities but also promotes work in the Computational
Linguistics community to build richer and more effective tools and models.

Topics of interest include, but are not limited to, the following:

- adaptation of NLP tools to Cultural Heritage, Social Sciences, Humanities
and literature;
- automatic error detection and cleaning of textual data;
- complex annotation schemas, tools and interfaces;
- creation (fully- or semi-automatic) of semantic resources;
- creation and analysis of social networks of literary characters;
- discourse and narrative analysis/modelling, notably in literature;
- emotion analysis for the humanities and for literature;
- generation of literary narrative, dialogue or poetry;
- identification and analysis of literary genres;
- linking and retrieving information from different sources, media, and
domains;
- modelling dialogue literary style for generation;
- modelling of information and knowledge in the Humanities, Social Sciences,
and Cultural Heritage;
- profiling and authorship attribution;
- search for scientific and/or scholarly literature;
- work with linguistic variation and non-standard or historical use of
language.

Information for Authors:

Please consult
https://sighum.wordpress.com/events/latech-clfl-2020/information-for-authors/

Important Dates:

Paper submission deadline: May 20, 2020
Notification of acceptance: June 24, 2020
Camera-ready papers due: July 11, 2020
Workshop date: September 13, 2020

Contact

latech-clfl at googlegroups.com




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