[Elsnet-list] LREC 2012 Workshops: 1st CfP Third Workshop on Building and Evaluating Resources for Biomedical Text Mining

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Fri Dec 16 18:14:06 CET 2011


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First Call for Papers

==================================================================================================
THIRD WORKSHOP ON BUILDING AND EVALUATING RESOURCES FOR BIOMEDICAL TEXT 
MINING
Saturday 26th May 2012
organised in conjunction with LREC2012 (21-27 May 2012, Lütfi Kirdar 
Istanbul Exhibition and Congress Centre, Turkey)

http://www.nactem.ac.uk/biotxtm2012/
==================================================================================================


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.

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, LL05, 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.

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.

Some specific questions that the workshop will aim to answer include the 
following:
* 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?
* Which resources are underused and why? What could be done to improve 
or extend them to improve their utility?
* 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?
* 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?

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).

Topics of interest include but are not limited to:

* Building biomedical resources: controlled vocabularies, terminologies, 
ontologies, corpora
* Guidelines and annotation schemas, tools, challenges, interoperability
* Reengineering existing biomedical or general language resources
* Update, evolution, extension or enrichment of resources
* Adapting resources to new sub-domains
* Interoperability of resources and standards
* Lightly annotated and noisy resources
* Tools for exploration of resources
* Data exchange formats
* Evaluation, comparison and critical assessment of resources / 
evaluation metrics
* Test suites


ORGANISATION

*Sophia Ananiadou, National Centre for Text Mining, University of 
Manchester, UK
*Kevin Bretonnel Cohen, Computational Bioscience Program, University of 
Colorado School of Medicine, USA
*Dina Demner-Fushman, National Library of Medicine, USA
*Paul Thompson, National Centre for Text Mining, University of 
Manchester, UK


DATES
February 10, 2012 Paper submissions due
March 14, 2012 Paper notification of acceptance
March 28, 2012 Camera-ready papers due
May 26, 2012 Workshop

SUBMISSIONS
Papers must describe original, completed or in progress, and unpublished 
work. Each submission will be reviewed by two program committee members.
Accepted papers will be given up to 8 pages in the workshop proceedings, 
and will be presented either as an oral presentation or poster.

Papers should be formatted according to the stylesheet, which will be 
provided on the LREC 2012 website (http://www.lrec-conf.org/lrec2012/).

Please submit papers in PDF format to:

https://www.softconf.com/lrec2012/BiomedTextMining2012/

Paper review will be blind, so papers should not include authors' names 
and affiliations.
Accepted papers will be published in the workshop proceedings.

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 http://www.lrec-conf.org/lrec2012/?LRE-Map-2012. Authors will also be 
asked to contribute to the Language Library, the new initiative of LREC2012.

PC MEMBERS

Jari Björne, University of Turku, Finland
Olivier Bodenreider, National Library of Medicine, USA
Wendy Chapman, University of Pittsburgh, USA
Hongfang Liu, Mayo Clinic, USA
Naoaki Okazaki, Tohoku University, Japan
Sampo Pyysalo, University of Manchester, UK
Andrey Rzhetsky, University of Chicago, USA
Stefan Schulz, Medical University Graz, Austria
Lucy Vanderwende, Microsoft, USA
Karin Verspoor, NICTA, Australia
John Wilbur, NCBI, NLM, NIH, USA
Stephen Wu, Mayo Clinic, USA
Pierre Zweigenbaum, LIMSI, France

Workshop contact person:
Paul.Thompson at manchester.ac.uk
National Centre for Text Mining, School of Computer Science, University 
of Manchester, UK











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