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[eu_members at aclweb dot org] Singpore: 47th ACL and 4th IJCNLP of the AFNLP: Workshop on text and citation analysis for scholarly digital libraries -- 1st CFP



ACL-IJCNLP 2009 Workshop on text and citation analysis for scholarly digital libraries

Call for Papers

http://wing.comp.nus.edu.sg/nlpir4dl/

In recent years, interest in scholarly publications in electronic forms has boomed,
and several large-scale electronic digital libraries and citation indices are now used
everyday by researchers. Current digital libraries collect and allow access to digital
papers and their metadata (including citations), but largely do not attempt to analyze
the items they collect.

The goal of this workshop is to investigate how developments in natural language
processing and information retrieval techniques can advance the state-of-the-art
in scholarly document understanding, analysis and retrival. Full document text analysis
can help design automatic summarization and sentiment detection methods, automated
recommendation and reviewing systems, and may provide data for visualizing scientific
trends and bibliometrics. Citation analysis takes this a step further, adding scientific
social network analysis as another strand of evidence to enhance solutions to the above
challenges. Web based digital libraries add download counts and Web 2.0 information
such as tagging.

Aside from researchers, this workshop hopes to interest other stakeholders, namely
implementers, publishers and policymakers. Even within computer science, many
different scholarly sites exist -- ACM Portal, IEEE Xplore, Google Scholar, PSU's
CiteSeerX, MSRA's Libra, Tsinghua's ArnetMiner, Trier's DBLP, UMass' Rexa,
Hiroshima's PRESRI -- and with this workshop we hope to bring a number of these
contributers together. Today's publishers continue to seek new ways to be relevant to their
consumers, in disseminating the right published works to their audience.
The fact that formal citation metrics have become an increasingly large factor in
decision-making by universities and funding bodies worldwide makes the need for research
in such topics and for better methods for measuring the impact of work more pressing.

We invite stimulating and unpublished submissions on topics including (but not limited to)
full-text analysis, multimedia and multilingual analysis and alignment as well as citation-based
NLP or IR. Specific examples of fields of interests include:

* new information access methods for scientific papers
* automatic creation of reviews
* automatic qualitative assessment of submissions
* summarisation of scientific articles
* navigation, searching and browsing in scholarly DLs
* techniques for suggesting and recommending scholarly papers, reviewers, citations
   and publication venues
* information retrieval for scholarly text, e.g. citation-based IR
* topical modeling analysis
* network analysis and citation analysis in scholarly DLs
* citation function/motivation analysis
* novel bibliographic metrics
* niche search in scholarly DLs, e.g., survey paper finding and provenance tracing of
  algorithms)
* knowledge discovery and analysis of the ancestry of ideas
* analyses of writing style in scholarly publications
* multilingual and multimedia analysis and alignment of scholarly works
* managing digital archives of linguistic corpora; federated access
* metadata and controlled vocabularies for resource description and discovery
* automatic metadata discovery, e.g., language identification
* data cleaning and data quality
* disambiguation issues in scholarly DLs using NLP or IR techniques.

Submission details:

Style files for submissions should following standard ACL-IJCNLP paper submission
style: http://www.acl-ijcnlp-2009.org/main/authors/stylefiles/

Important Dates:

May 1, 2009 Deadline for paper submissions
Jun 1, 2009 Notification of acceptances
Jun 7, 2009 Camera-ready copies due
Aug 7, 2009 ACL-IJCNLP 2009 Workshop

Program Committee:

* Colin Batchelor (Royal Society of Chemistry)
* Steven Bird (Univ. of Melbourne & Linguistic Data Consortium)
* Shannon Bradshaw (Drew University)
* Jason S Chang (National Tsing-hua Univ.)
* Robert Dale (Macquarie Univ.)
* Bonnie Dorr (Univ. of Maryland)
* Curtis Dyreson (Utah State Univ.)
* C Lee Giles (Pennsylvania State Univ.)
* Dan Jurafsky (Stanford Univ.)
* Noriko Kando (National Institute of Informatics, Japan)
* Dongwon Lee (Pennsylvania State Univ.)
* Elizabeth Liddy (Syracuse Univ.)
* Andrew McCallum (Univ. of Massachusetts)
* Qiaozhu Mei (UIUC)
* Hidetsugu Nanba (Hiroshima Univ.)
* Manabu Okumura (Tokyo Institute of Technology)
* Dragomir Radev (Univ. of Michigan)
* Anna Ritchie (Cambridge University)
* Mark Sanderson (Sheffield Univ.)
* John Swales (Univ. of Michigan)
* Jie Tang (Tsinghua Univ.)
* Michael Thelwall (Univ. of Wolverhampton)
* Howard White (Drexel Univ.)
* Bonnie Webber (Edinburgh Univ.)

Organizers:

Simone Teufel
University of Cambridge Computer Laboratory
William Gates Building, JJ Thompson Ave,
Cambridge CB3 0FD, United Kingdom.

Simone Teufel is a senior lecturer in the Computer Laboratory at Cambridge University,
where she has worked since 2001. Her main research interests are in corpus-linguistic
approaches to discourse theory, and in the application of such information to
summarisation, information retrieval and citation analysis. She has a background in
computer science (1994 Diploma from University of Stuttgart) and in cognitive science
(2000 PhD from Edinburgh University), and has also experience in medical information
processing and search, from a postdoctoral stay at Columbia University, and in
collocation extraction, from a research post at Xerox Europe. Her latest research interests
include lexical acquisition, and the visualisation and language generation of the analysis
results of scientific articles.

Min-Yen Kan
AS6 05-12 Computing 1, Law Link
National University of Singapore

Min-Yen Kan is an assistant professor at the National University of Singapore. His research
interests include digital libraries and applied natural language processing. Specific projects
include work in the areas of citation analysis, document structure acquisition, verb analysis,
and applied text summarization. Prior to joining NUS, he was a graduate research assistant
at Columbia University, and has interned at various industry laboratories, including AT&T,
IBM and Eurospider Technologies in Switzerland.