25.357, Calls: Forensic Ling, Computational Ling, Text/Corpus Ling, Semantics/Iceland

Tue Jan 21 16:32:32 UTC 2014

LINGUIST List: Vol-25-357. Tue Jan 21 2014. ISSN: 1069 - 4875.

Subject: 25.357, Calls: Forensic Ling, Computational Ling, Text/Corpus Ling, Semantics/Iceland

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Monica Macaulay, U of Wisconsin Madison
Rajiv Rao, U of Wisconsin Madison
Joseph Salmons, U of Wisconsin Madison
Mateja Schuck, U of Wisconsin Madison
Anja Wanner, U of Wisconsin Madison
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Date: Tue, 21 Jan 2014 11:31:53
From: Giulia Venturi [giulia.venturi at ilc.cnr.it]
Subject: 5th Workshop on Semantic Processing of Legal Texts

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Full Title: 5th Workshop on Semantic Processing of Legal Texts 
Short Title: SPLeT 2014 

Date: 31-May-2014 - 31-May-2014
Location: Reykjavik, Iceland 
Contact Person: Giulia Venturi
Meeting Email: lrec_legalWS at ilc.cnr.it
Web Site: https://sites.google.com/site/splet2014workshop/call-for-papers 

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

Call Deadline: 10-Feb-2014 

Meeting Description:

The last few years have seen a growing body of research and practice in the
field of AI & Law which addresses a range of topics: automated legal
argumentation, semantic and cross-language legal IR, document
classification, legal drafting, legal knowledge extraction, as well as the
construction of legal ontologies and their application. In this context, it
is of paramount importance to use NLP techniques and tools that automate
the process of knowledge extraction from legal texts.

Two special sessions will be organized around hot research areas: Legal
Language Resources and Enhancing Access to Law.

For what concerns the former, in line with LREC 2014 Special Highlight we
encourage the submission of descriptions of legal resources to be possibly
included in the LREC Repository of shared LRs with the final aim of
constructing a map of legal language resources, enabling their reuse (in
reproducing and evaluating experiments) and extension. The resources might
include: annotated corpora, lexicons, thesauri and ontologies as well as
semantic processing tools, amongst others.

Concerning the second hot topic, we are particularly interested in
submissions on NLP-based techniques for getting access to semantic
information, including visualization of legal content and network analysis
in the legal domain to uncover relationships between legal documents (e.g.
citation analysis).

Call for Papers:

Submissions are solicited from researchers working on all aspects of
semantic processing of legal texts. Authors are invited to submit papers
describing original completed work, work in progress, interesting problems,
case studies or research trends related to one or more of the topics of
interest listed above. The final version of the accepted papers will be
published in the Workshop Proceedings.

Short or full papers can be submitted.

Short papers are expected to present new ideas or new visions that may
influence the direction of future research, yet they may be less mature
than full papers. While an exhaustive evaluation of the proposed ideas is
not necessary, insight and in-depth understanding of the issues is
expected. Short papers can also include descriptions of existing language
resources. Full papers should report original results (also including newly
developed language resources). Short papers will be reviewed the same way
as full papers by the Program Committee and will be published in the
Workshop Proceedings.

Full paper submissions should not exceed 10 pages, short papers 6 pages;
both should be typeset using a font size of 11 points. Style files will be
made available by LREC for the camera-ready versions of accepted papers.

Papers should be submitted electronically, no later than 10 February 2014.
The only accepted format for submitted papers is Adobe PDF. Submission will
be electronic using START paper submission software available at
https://www.softconf.com/lrec2014/SPLET/.

Note that when submitting a paper through the START page, authors will be
asked to provide essential information about resources (in a broad sense,
i.e. also technologies, standards, evaluation kits, etc.) that have been
used for the work described in the paper or are a new result of your research.

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