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<TITLE>BioTM-2010: Advances in Bio Text Mining / Call for Abstracts</TITLE>
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<P><FONT SIZE=2>=========================<BR>
Second Call for Abstracts<BR>
=========================<BR>
<BR>
Workshop BioTM-2010: Advances in Bio Text Mining<BR>
<BR>
May 10-11, 2010, Ghent, Belgium<BR>
<BR>
<A HREF="http://www.clips.ua.ac.be/BioTM2010/index.html">http://www.clips.ua.ac.be/BioTM2010/index.html</A><BR>
<BR>
============================================================<BR>
<BR>
Abstracts are invited for the two-day workshop to be held in Ghent on<BR>
the 10th and 11th of May 2010.<BR>
Participants are encouraged to submit an extended abstract to the<BR>
workshop. Authors of selected abstracts will present their work in a<BR>
five minute bullet talk and their posters will be presented in a poster<BR>
session. Submitted abstracts will be reviewed by the organising committee.<BR>
<BR>
The best abstracts will be published in an abstract supplement of BMC<BR>
Bioinformatics (<A HREF="http://www.biomedcentral.com/bmcbioinformatics/">http://www.biomedcentral.com/bmcbioinformatics/</A>).<BR>
Submission deadline: April 1, 2010.<BR>
<BR>
============================================================<BR>
<BR>
The program of the workshop includes:<BR>
- an extensive tutorial on Bio Text Mining by Martin Krallinger<BR>
- invited talks by leading scientists in the field: Sampo Pyysalo, Kevin<BR>
Cohen and Filip Ginter<BR>
- invited talks by experienced scientists from industry: Jean-Marc<BR>
Neefs, Luc Dehaspe and Maté Ongenaert<BR>
<BR>
============================================================<BR>
<BR>
Text mining has become indispensible in many biological and biomedical<BR>
sciences. Having to keep up with an increasing number of publications,<BR>
text mining techniques enable retrieval and analysis of large amounts of<BR>
documents in a fully automated fashion. They allow for extraction of<BR>
facts described in the literature that have not yet been recorded in<BR>
databases, thus providing a necessary tool to obtain a complete overview<BR>
of all available knowledge.<BR>
<BR>
Recently, the application of text mining and natural language processing<BR>
techniques to the biological and medical sciences has recieved<BR>
increasing interest. In addition to many new workshops and conferences<BR>
arising in this domain, recently also a number of community-wide tasks<BR>
were conducted to benchmark text mining techniques on specific<BR>
challenges (e.g. BioCreative, BioNLP Shared Task, ...).<BR>
<BR>
By discussing the latest developments and potentially new applications<BR>
in text mining amongst scientists in both academia and industry, this<BR>
workshop aims to provide a broad view on text mining tools in biology<BR>
and biomedicine. We are reaching out to a broad public, including<BR>
researchers with an interest in text mining but with little or no<BR>
experience in this domain. To this end, the workshop will start with an<BR>
extensive tutorial on text mining in the bio-sciences, providing<BR>
sufficient background knowledge for novices.<BR>
<BR>
Next, a number of keynote talks will be given by leading scientists,<BR>
presenting the latest advances in the field. Furthermore, participants<BR>
are highly encouraged to submit an abstract describing their own work.<BR>
They will be given the opportunity to present this work in 5min flash<BR>
presentations, as well as to present a poster during the coffee and<BR>
lunch breaks.<BR>
<BR>
Finally, we plan on having a round-table discussion about the broader<BR>
applicability of text-mining tools in the biological sciences, trying to<BR>
bridge the gap between theoretical algorithms and experimental work.<BR>
<BR>
============================================================<BR>
<BR>
SUBMISSIONS: SCOPE<BR>
<BR>
Submissions should present work related to any aspect of biomedical text<BR>
mining and bioinformatics. Additionally, we strongly encourage<BR>
submissions that describe shortcomings of current existing techniques,<BR>
tools, or resources, in order to detect problematic issues and work<BR>
towards their improvement.<BR>
<BR>
<BR>
SUBMISSIONS: INSTRUCTIONS<BR>
<BR>
An abstract of maximum 400 words with at most 1 table or figure should<BR>
be submitted to the following e-mail address in pdf format:<BR>
biotm2010 at gmail dot com<BR>
Detailed formatting instructions can be found at<BR>
<A HREF="http://www.clips.ua.ac.be/BioTM2010/call.html">http://www.clips.ua.ac.be/BioTM2010/call.html</A><BR>
Submission is blind.<BR>
<BR>
============================================================<BR>
<BR>
IMPORTANT DATES<BR>
<BR>
1 April 2010 Submission deadline<BR>
15 April 2010 Notification of acceptance<BR>
30 April 2010 Camera-ready abstracts due<BR>
10-11 May 2010 Workshop in Ghent<BR>
<BR>
============================================================<BR>
<BR>
ORGANISATION / PROGRAM COMMITTEE<BR>
<BR>
Yvan Saeys<BR>
Thomas Abeel<BR>
Sofie Van Landeghem<BR>
<BR>
Bioinformatics and Evolutionary Genomics group<BR>
VIB Department of Plant Systems Biology<BR>
Ghent University, Belgium<BR>
<BR>
<BR>
Walter Daelemans<BR>
Roser Morante<BR>
Vincent Van Asch<BR>
<BR>
CLiPS - Text Mining Group<BR>
Faculty of Arts<BR>
University of Antwerp, Belgium<BR>
<BR>
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