[Corpora-List] Final CFP Biomedical Abbreviation Identification Track - IberEval 2017

Martin Krallinger mkrallinger at cnio.es
Fri Jun 16 17:26:34 CEST 2017


[apologies for cross-postings]

Final Call for Participation:

Biomedical Abbreviation Recognition and Resolution (BARR) track at IberEval 2017:

September 19th, 2017: Workshop at SEPLN 2017

1. OVERVIEW

The recognition and resolution of abbreviations, acronyms and symbols is a critical step for a number of tasks including named entity recognition (NER), machine translation, information retrieval/indexing and document categorization among others. Therefore the implementation and availability of abbreviation recognition systems is of great practical impact for text mining and language processing.

In case of domains such as biomedicine and clinical research, abbreviations are particularly frequent, often referring to entities and concepts of importance such as genes, diseases, symptoms, drugs/chemicals or treatments. NER, relation extraction and clinical document coding systems usually need to cope with recognizing correctly short forms or abbreviations.

There is a growing number of biomedical and clinical documents written in Spanish, such as medical literature, medical agency reports, patents and particularly electronic health records.

As part of the IBEREVAL 2017 initiative we have proposed the Biomedical Abbreviation Recognition and Resolution (BARR) track.

For this track, participating teams have to detect mentions of pairs of Short Forms and their corresponding Long Forms from medical article abstracts written in Spanish.

In addition to the BARR manually annotated Gold Standard corpora, the BARR document collection will be released, consisting in the largest existing unified collection of medical article abstracts written in Spanish distributed through a special agreement with the publisher Elsevier to participating teams.

2. CONTACT INFORMATION

BARR track URL: http://temu.inab.org/index.html Contact e-mail: Martin Krallinger , mkrallinger at cnio.es

3. IMPORTANT DATES ===================

March 28th, 2017: Release of sample data

May 25th, 2017: Release of Training Subset 1

May 30th, 2017: Release of Training Subset 2

June 19th, 2017: Release of Test Set

June 24th, 2017: Submission of participant runs

June 26th, 2017: Working notes submission due (short system description 3-5 pages)

June 28th, 2017: Reviews of Working notes sent out to authors

July 1st, 2017: Deadline to submit Camera ready revised Working notes

September 19th, 2017: Workshop at SEPLN 2017

4. COMMITTEES

Organizing Committee Chair ---------------------- -Martin Krallinger, Biological Text Mining Unit (Bio-TeMUC), CNIO, Spain -Santiago de la Peńa, Biological Text Mining Unit (Bio-TeMUC), CNIO, Spain -Ander Intxaurrondo, Biological Text Mining Unit (Bio-TeMUC), CNIO, Spain -Jesús Santamaría, Biological Text Mining Unit (Bio-TeMUC), CNIO, Spain -Jose A. Lopez-Martin, Medical Oncology, Hospital 12 de Octubre, Spain -Alfonso Valencia, Life Sciences & Computational Biology, BSC, Spain -Marta Villegas, Life Sciences & Computational Genomics, BSC, Spain -Anália Lourenço, Next Generation Computer Systems Group, University of Vigo, Spain -Gael Pérez, Next Generation Computer Systems Group, University of Vigo, Spain -Martín Pérez, Next Generation Computer Systems Group, University of Vigo, Spain

Scientific Advisory Board: ------------------------- - Saber Ahmad Akhondi: Principle NLP Scientist, Elsevier Content & Innovation -Sophia Ananiadou: Professor of the School of Computer Science, University of Manchester / Director of the National Centre for Text Mining (NaCTeM), UK -Marius Doornenbal: Chief NLP Scientist, Elsevier Content & Innovation -Hongfang Liu: Professor of Biomedical Informatics, Mayo Clinic, USA -Fernando A. Navarro: MD, Cosnauta, Siglas médicas en espańol; Founding member of TREMÉDICA, Spain -Carlos Luis Parra Calderón: Head of Technological Innovation Section, University Hospital Virgen del Rocio; Director of biomedical informatics, -Manabu Torii: Scientist Medical Informatics, Kaiser Permanente Southern California, USA -Georgios Tsatsaronis: Senior NLP Scientist, Elsevier Content & Innovation -Hua Xu: Director of the Center for Computational Biomedicine, University of Texas Health Science Center at Houston, USA

======================================= Martin Krallinger, Dr. -------------------------------------------------------------------- Head of Biological Text Mining Unit Structural Biology and BioComputing Programme Spanish National Cancer Research Centre (CNIO) -------------------------------------------------------------------- Oficina Técnica General (OTG) del Plan TL en el área de Biomedicina de la Secretaria de Estado de Telecomunicaciones y para la Sociedad de la Información ======================================= -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: text/html Size: 5457 bytes Desc: not available URL: <https://mailman.uib.no/public/corpora/attachments/20170616/fbc9bbf2/attachment.txt>



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