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Category:   E-CFP
Subject:   NLPIR4DL: Workshop on text and citation analysis for scholarly digital libraries
Email:   simone.teufel_(on)_googlemail.com
Date received:   23 Feb 2009
Deadline:   01 May 2009
Start date:   07 Aug 2009

NLPIR4DL 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 We invite stimulating and unpublished submissions on topics including (but not limited to) full-text analysis, multimedia and multilingual analysis and alignment as well as citation-based NLP or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. _______________________________________________ Elsnet-list mailing list Elsnet-list_(at)_elsnet.org http://mailman.elsnet.org/mailman/listinfo/elsnet-list

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