Humanist Discussion Group, Vol. 36, No. 27.
Department of Digital Humanities, University of Cologne
Hosted by DH-Cologne
www.dhhumanist.org
Submit to: humanist@dhhumanist.org
Date: 2022-05-19 12:16:30+00:00
From: Stan Szpakowicz <szpak44@gmail.com>
Subject: Second Call for Papers: The 6th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
LaTeCH-CLfL 2022:
The 6th Joint SIGHUM Workshop on Computational Linguistics for
Cultural Heritage, Social Sciences, Humanities and Literature
to be held mid-October 2022 in conjunction with COLING 2022 in Gyeongju,
Republic of Korea.
https://sighum.wordpress.com/events/latech-clfl-2022/
Second Call for Papers (with apologies for cross-posting)
Organisers: Stefania Degaetano-Ortlieb, Anna Kazantseva, Nils Reiter,
Stan Szpakowicz
LaTeCH-CLfL 2022 is the sixth in a series of meetings for NLP
researchers who work with data from the broadly understood arts,
humanities and social sciences, and for specialists in those disciplines
who apply NLP techniques in their work. The workshop continues a long
tradition of annual meetings. The SIGHUM Workshops on Language
Technology for Cultural Heritage, Social Sciences, and Humanities
(LaTeCH) ran ten times in 2007-2016. The five Workshops on Computational
Linguistics for Literature (CLfL) took place in 2012-2016. The first
five joint workshops (LaTeCH-CLfL) were held in 2017-2021.
*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*
We invite papers on original, unpublished work in the topic areas of the
workshop. In addition to long papers, we will consider short papers and
system descriptions (demos). We also welcome position papers.
• Long papers, presenting completed work, may consist of up to
eight (8) pages of content plus additional pages of references (just two
if possible -:). The final camera-ready versions of accepted long papers
will be given one additional page of content (up to 9 pages) so that
reviewers’ comments can be taken into account.
• A short paper / demo presenting work in progress, or the
description of a system, and may consist of up to four (4) pages of
content plus additional pages of references (one if you can). Upon
acceptance, short papers will be given five (5) content pages in the
proceedings.
• A position paper — clearly marked as such — should not exceed
eight (8) pages including references.
All submissions are to use the ACL stylesheets adopted by COLING 2022
(see https://coling2022.org/Submission, styles for LaTeX
<https://github.com/acl-org/acl-style-files/blob/master/latex/acl_latex.tex>,
MS Word
<https://github.com/acl-org/acl-style-files/blob/master/word/acl.docx>
or Overleaf <https://www.overleaf.com/read/crtcwgxzjskr>). Papers should
be submitted electronically, in PDF, at
https://www.softconf.com/coling2022/LaTeCH-CLfL_2022/.
Reviewing will be double-blind. Please do not include the authors’ names
and affiliations, or any references to Web sites, project names,
acknowledgements and so on — anything that immediately reveals the
authors’ identity. Self-references should be kept to a reasonable
minimum, and anonymous citations cannot be used.
Accepted papers will be published in the workshop proceedings available
as usual in the ACL Anthology.
*Important Dates* (almost firm)
Papers due: July 11, 2022
Notification of acceptance: August 22, 2022
Camera-ready papers due: September 5, 2022
Workshop: one day in the period October 12-17, 2022
The two due dates are Anywhere On Earth.
*More on the organisers*
Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland
University
Anna Kazantseva, National Research Council Canada
Nils Reiter, Department for Digital Humanities, University of Cologne
Stan Szpakowicz, School of Electrical Engineering and Computer Science,
University of Ottawa
*Contact*
latech-clfl@googlegroups.com
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