The 2nd Joint SIGHUM Workshop on Computational Linguistics for Cultural
Heritage, Social Sciences, Humanities and Literature
to be held in conjunction with COLING 2018 in Santa Fe, NM, USA
Second Call for Papers (with apologies for cross-posting)
LaTeCH-CLfL 2018 is a second 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 joint workshop (LaTeCH-CLfL 2017) 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.
A highlight of the workshop will be *Ted Underwood’s invited talk*.
*Topics and Content*
In the Humanities, Social Sciences and Cultural Heritage communities, there
is increasing interest in and demand for NLP methods for semantic 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, such as noisy,
non-standard textual or multi-modal input, historical languages, multilingual
parts within one document, lack of digital resources, or resource-intensive
approaches that call for (semi-)automatic processing tools and domain
adaptation, or, as a last resort, 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 or sub-genre, recognition of certain literary devices, or quantitative
analysis of poetry. More generally, there is a growing interest in
computational models whose results can be interpreted in meaningful ways.
A common forum is mutually beneficial to NLP experts, data specialists,
digital humanities researchers, and those who study literature. The second
edition of the joint workshop has something for everyone in all such
communities. We invite contributions on these, and closely related, topics:
• adapting NLP tools to Cultural Heritage, Social Sciences, and to the
humanities including literature;
• fully- or semi-automatic creation of semantic resources;
• automatic error detection and cleaning of textual data;
• building and analyzing social networks of literary characters;
• complex annotation schemas, tools and interfaces;
• dealing with linguistic variation and non-standard or historical use of
• 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
• modelling dialogue literary style for generation;
• modelling of information and knowledge in the Humanities, Social
Sciences, and Cultural Heritage;
• profiling and authorship attribution;
• research infrastructure and standardisation efforts in the Humanities,
Social Sciences, and Cultural Heritage;
• searching for scientific and/or scholarly literature.
*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, with two (2) additional pages of references.
* A short paper / demo can present work in progress, or the description of a
system, and may consist of up to four (4) pages of content, with one (1)
additional page of references.
* A position paper — clearly marked as such — should not exceed six (6)
pages including references.
All submissions are to use the ACL stylesheets (either .sty and .bst or
.dot). Papers should be submitted electronically, in PDF, via the
LaTeCH-CLfL2018 submission website:
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, and later
available in the ACL Anthology.
Paper submission deadline: *May 25, 2018*
Notification of acceptance: June 20, 2018
Camera-ready papers due: June 30, 2018
Workshop date: August 20 or 21, 2017
Beatrice Alex, School of Informatics, University of Edinburgh
Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland
Anna Feldman, Department of Linguistics & Department of Computer Science,
Montclair State University
Anna Kazantseva, National Research Council of Canada
Nils Reiter, Institute for Natural Language Processing (IMS), Stuttgart
Stan Szpakowicz, School of Electrical Engineering and Computer Science,
University of Ottawa