Bibliographie
LaTeCH-CLfL 2019 :*
*The 3rd Joint SIGHUM Workshop on Computational Linguistics for Cultural
Heritage, Social Sciences, Humanities and Literature*
to be held in conjunction with NAACL 2019 in Minneapolis, MN, USA
https://sighum.wordpress.com/events/latech-clfl-2019/
Second Call for Papers (with apologies for cross-posting)
Organisers : Beatrice Alex, Stefania Degaetano-Ortlieb, Anna Kazantseva,
Nils Reiter, Stan Szpakowicz
LaTeCH-CLfL 2019 is a third 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 two
joint workshops (LaTeCH-CLfL 2017 and 2018) 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.
*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 language ;
– 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 ;
– 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.
* A long paper, presenting completed work, may consist of up to eight
(8) pages of content, with two (2) additional pages of references ;
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 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. Upon acceptance, short papers
will be given five (5) content pages in the proceedings.
* A position paper — clearly marked as such — should not exceed six
(6) pages including references.
All submissions are to use the ACL stylesheets (for LaTeX, MS Word or
Overleaf) posted at https://naacl2019.org/calls/papers/. Papers should
be submitted electronically, in PDF, via the LaTeCH-CLfL2019 submission
website at https://www.softconf.com/naacl2019/latechclfl/.
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.
*Important Dates*
Paper submission deadline : February 25, 2019
Notification of acceptance : March 25, 2019
Camera-ready papers due : April 3, 2019
Workshop date : June 7, 2019
*More on the organisers*
Beatrice Alex, School of Informatics, University of Edinburgh
Stefania Degaetano-Ortlieb, Language Science and Technology, Saarland University
Anna Kazantseva, National Research Council of Canada
Nils Reiter, Institute for Natural Language Processing (IMS), Stuttgart University
Stan Szpakowicz, School of Electrical Engineering and Computer Science, University of Ottawa
*Contact*
latech-clfl@googlegroups.com