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Please submit original
research papers and statements of position by email to jason.baron@nara.gov
Call for papers
The
application of Artificial Intelligence to law, including search and data
analysis technologies, has long been an area of interest for researchers.
Similarly, contemporary techniques for indexing legal documents such as
legislation, regulations, and case law, and their citations, have become
highly developed. While work on these topics continues, interest in a new
class of digital evidence management applications, often referred to as
"E-Discovery" or “E-Disclosure”, is increasing rapidly, in part
because electronically stored information (ESI)
has become a pervasive component of many routine commercial and government
activities in many countries around the world. These applications raise
important new challenges for the legal search community, including:
·
New types of content, for instance, threaded yet highly
diverse material (as with common e-mail), material possessing considerable
informal language (as with instant and text messaging), as well as non-text
applications and new media (e.g., video, podcasts, digital photos,
voicemail).
·
Unprecedented requirements for scalable work processes, with collections
containing on the order of a billion documents.
·
Management of a complex array of interlocking rights and
privileges (e.g., personal privacy, attorney-client privilege, and
executive privilege in government).
·
Problems associated with texts in languages other than the
host jurisdiction’s, in terms of producing accurate translations as well as
making contextual sense of documents through automated search techniques.
No existing
community possesses the expertise to attack these challenges alone, so our
goal is to continue to bring together researchers and practitioners with
relevant expertise to begin crafting a research agenda to address these new
challenges. This year, in addition to inviting contributions addressing
research issues relevant to the problems of E-Discovery and E-Disclosure in
general, the workshop will emphasize problems in an international context,
such as information retrieval within civil and common law jurisdictions,
both in dealing with text in non-host jurisdiction languages and in
connection with cross-border litigation subject to varying rules of
procedure and practice.
In 2007, participants from five continents
gathered together for the first DESI
Workshop_ at Stanford University
as part of ICAIL 2007. See http://www.umiacs.umd.edu/~oard/desi-ws/. A second
successful international workshop, DESI
II, was held at University College London in 2008. See http://www.cs.ucl.ac.uk/staff/S.Attfield/desi/index.html.
This year, participation is again invited
from all interested parties, including those with backgrounds in:
--Archives and
records management
--Artificial intelligence and law
--Automated data analysis and report generation
--Computational linguistics
--Digital forensics
--Legal sensemaking
--Human-computer interaction
--Human language technology
--Information retrieval
--Knowledge management
--Legal informatics
--Litigation support
--Natural language processing
--Text mining and text classification
Submissions: For
this DESI III
workshop, two types of written contributions are invited:
·
Original papers describing research or practice, which may be
selected for oral or poster presentation. Longer research papers are
welcomed (8-10 pages), while shorter papers are also invited (4-6 pages).
Accepted papers will be included in the working notes of the workshop that
will be distributed in print to participants and posted on the Web.
·
Brief (typically 1-2 page) position papers describing
individual interests, for inclusion (without review) in the working notes
and on the Web site. Brief descriptions of this type are particularly
valuable when bringing together diverse research communities. Additionally,
these papers can help with our selection of discussants, lunch table
discussion leaders, and panelists. Participation in the workshop is open,
so prior submission of position papers, while strongly encouraged, is not
strictly required.
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