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<div>3rd CALL FOR PAPERS</div>
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<div>==================================================================================================</div>
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<div>THIRD WORKSHOP ON BUILDING AND EVALUATING RESOURCES FOR BIOMEDICAL TEXT MINING (BioTxtM 2012)</div>
<div>Saturday 26th May 2012</div>
<div>organised in conjunction with LREC2012 (21-27 May 2012, Lütfi Kirdar Istanbul Exhibition and Congress Centre, Turkey)</div>
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<div><a moz-do-not-send="true" href="http://www.nactem.ac.uk/biotxtm2012/">http://www.nactem.ac.uk/biotxtm2012/</a></div>
<div>==================================================================================================</div>
<div> </div>
<div>** NEW: The workshop will feature an invited talk by Prof. Jun'ichi Tsujii of Microsoft Research Asia, China **</div>
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<div>SUBMISSION DEADLINE: February 10, 2012</div>
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<div>Over the past decade, biomedical text mining has received a large amount of interest. Faced with the rapidly increasing volume of biomedical literature, domain experts have an ever-increasing need for tools that can help them locate isolate relevant nuggets
of information from this deluge of information in a timely and efficient manner. The response to such issues by the natural language processing community can be clearly evidenced in the biomedical natural language processing workshops that have been held over
that past 10 years, in conjunction with ACL or NAACL meetings, to report the process in the field, as well as the founding of an ACL special interest group.</div>
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<div>Biomedical text mining applications are reliant on high quality resources. These include databases and ontologies (e.g., Biothesaurus, UMLS Metathesaurus, MeSH and the Gene Ontology) and dictionaries/computational lexicons (e.g., the BioLexicon and the
UMLS SPECIALIST lexicon). Recent years have also evidenced a large increase in the number of freely-available corpora (e.g., GENIA, GREC, AIMED, BioInfer, CRAFT, BioDRB) annotated with an expanding range of information types. These now include not only named
entities and simple relations that hold between them, but also more complex event structures and coreference, as well as higher level information about how events are to be interpreted (e.g., facts, analyses, speculations, etc.) and discourse structure. Community
shared tasks and challenges (e.g., JNLPBA, LLl05, Biocreative I/II/III, BioNLP’09, BioNLP 2011, i2b2, etc.) also normally involve the production of annotated corpora (on which the participating systems are trained and evaluated) as well as helping to steer
research efforts to focus on open research problems.</div>
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<div>Following on from the success of two previous workshops, the workshop aims to bring together researchers who make use of biomedical text mining resources such as the above in their applications, or who are working on the development of new resources. The
workshop will allow an assessment of the current state of the art of resources, and will provide a forum for the discussion of current problems, questions and open issues, which will be useful in guiding further research in this area. Such topics are very
much relevant to META-NET (a Network of Excellence consisting of 54 research centres from 33 countries), which is dedicated to building the technological foundations of a multilingual European information society. META-NET aims to push forward research to
allow a rapid expansion of language technologies; such efforts can only be acheived if appropriate resources are available. Since META-NET is concerned with enhancing information access for all European citizens, submissions concerning biomedical resources
for languages other than English are particularly welcome. A further vital consideration to allow rapid building of new applications is that of interoperability and reuse. As a step towards this, several annotated corpora have been made UIMA-compliant, and
are available in the U-Compare system, which allows easy construction of NLP workfows and evaluation against gold standard corpora. </div>
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<div>Some specific questions that the workshop will aim to answer include the following: </div>
<div>* Among the available resources, which are the most used? What makes a good resource? How can easily can resources be employed for different purposes? What efforts have been made to make resources reusable or interoperable? To what extent have these efforts
been successful? </div>
<div>* Which resources are underused and why? What could be done to improve or extend them to improve their utility?</div>
<div>* Which types of resources are still lacking and what is needed urgently? Are any resources planned or in development to address such gaps? Are any resources available that cover languages other than English?</div>
<div>* To what extent do the existing resources support processing of text in different biomedical subdomains? How easily can they be adapted to deal with different domains?</div>
<div><br>
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<div>We invite papers reporting on resources that facilitate biomedical text mining, and the process of designing, building, updating, delivering, using and evaluating them. The workshop will focus both on the lexical and knowledge repositories themselves (e.g.,
terminologies, ontologies, controlled vocabularies, factual databases, annotated corpora, etc.) as well as on issues relating to their usability (e.g., design guidelines, standards for building resources, storage and exchange formats, interoperability issues,
etc).</div>
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<div>Topics of interest include but are not limited to:</div>
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<div>* Building biomedical resources: controlled vocabularies, terminologies, ontologies, corpora</div>
<div>* Guidelines and annotation schemas, tools, challenges, interoperability</div>
<div>* Reengineering existing biomedical or general language resources</div>
<div>* Update, evolution, extension or enrichment of resources</div>
<div>* Adapting resources to new sub-domains</div>
<div>* Interoperability of resources and standards</div>
<div>* Lightly annotated and noisy resources</div>
<div>* Tools for exploration of resources</div>
<div>* Data exchange formats</div>
<div>* Evaluation, comparison and critical assessment of resources / evaluation metrics</div>
<div>* Test suites </div>
<div><br>
</div>
<div><br>
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<div>ORGANISATION</div>
<div> </div>
<div>*Sophia Ananiadou, National Centre for Text Mining, University of Manchester, UK</div>
<div>*Kevin Bretonnel Cohen, Computational Bioscience Program, University of Colorado School of Medicine, USA</div>
<div>*Dina Demner-Fushman, National Library of Medicine, USA</div>
<div>*Paul Thompson, National Centre for Text Mining, University of Manchester, UK</div>
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<div>IMPORTANT DATES</div>
<div>February 10, 2012 Paper submissions due</div>
<div>March 14, 2012 Paper notification of acceptance</div>
<div>March 28, 2012 Camera-ready papers due</div>
<div>May 26, 2012 Workshop </div>
<div><br>
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<div>SUBMISSIONS</div>
<div>Papers must describe original, completed or in progress, and unpublished work. Each submission will be reviewed by two program committee members.</div>
<div>Accepted papers will be given up to 8 pages in the workshop proceedings, and will be presented either as an oral presentation or poster.</div>
<div> </div>
<div>Papers should be formatted according to the LREC 2012 stylesheet (<a href="http://www.lrec-conf.org/lrec2012/?Authors-Kit">http://www.lrec-conf.org/lrec2012/?Authors-Kit</a>).</div>
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<div>Please submit papers in PDF format to:</div>
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<div><a moz-do-not-send="true" href="https://www.softconf.com/lrec2012/BiomedTextMining2012/">https://www.softconf.com/lrec2012/BiomedTextMining2012/</a> </div>
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<div>Paper review will be blind, so papers should not include authors' names and affiliations. </div>
<div>Accepted papers will be published in the workshop proceedings. </div>
<div><br>
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<div>When submitting a paper through the START page, authors will be kindly asked to provide relevant information about the resources that have been used for the work described in their paper or that are the outcome of their research. For further information
on this initiative, please refer to <a moz-do-not-send="true" href="http://www.lrec-conf.org/lrec2012/?LRE-Map-2012">http://www.lrec-conf.org/lrec2012/?LRE-Map-2012</a>. Authors will also be asked to contribute to the Language Library, the new initiative of
LREC2012.</div>
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<div>PC MEMBERS</div>
<div><br>
</div>
<div>Jari Björne, University of Turku, Finland</div>
<div>Olivier Bodenreider, National Library of Medicine, USA</div>
<div>Wendy Chapman, University of Pittsburgh, USA </div>
<div>Hongfang Liu, Mayo Clinic, USA</div>
<div>Naoaki Okazaki, Tohoku University, Japan</div>
<div>Sampo Pyysalo, University of Manchester, UK</div>
<div>Andrey Rzhetsky, University of Chicago, USA</div>
<div>Stefan Schulz, Medical University Graz, Austria</div>
<div>Lucy Vanderwende, Microsoft, USA</div>
<div>Karin Verspoor, NICTA, Australia</div>
<div>John Wilbur, NCBI, NLM, NIH, USA</div>
<div>Stephen Wu, Mayo Clinic, USA</div>
<div>Pierre Zweigenbaum, LIMSI, France</div>
<div><br>
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<div>Workshop contact person:</div>
<div><a moz-do-not-send="true" href="mailto:Paul.Thompson@manchester.ac.uk">Paul.Thompson@manchester.ac.uk</a> </div>
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National Centre for Text Mining, School of Computer Science, University of Manchester, UK</span></div>
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<div>--------</div>
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<div>Paul Thompson<br>
Research Associate<br>
School of Computer Science<br>
National Centre for Text Mining<br>
Manchester Interdisciplinary Biocentre<br>
University of Manchester<br>
131 Princess Street<br>
Manchester<br>
M1 7DN<br>
UK<br>
Tel: 0161 306 3091<br>
<a href="http://personalpages.manchester.ac.uk/staff/Paul.Thompson/">http://personalpages.manchester.ac.uk/staff/Paul.Thompson/</a></div>
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