Call For Papers

New Frontiers in Biomedical Text Mining

A Pacific Symposium on Biocomputing Session

January 3-7, 2007

Grand Wailea Resort, Wailea, Maui, Hawaii

[Motivation|Session Topics|Session chairs|Submission information]

Motivation

To date, most work in biomedical language processing has addressed one of three areas: entity identification (named entity recognition), for example, identifying gene names in text; information extraction or relation extraction, i.e., finding information about very constrained types of relations between entities, e.g. about protein-protein interactions; or information retrieval restricted to retrieving documents from large text collections. Although none of these is by any means a solved problem, and all of them tend to be prerequisites to more sophisticated systems, it is none the less the case that they all fall short of text data mining on its strictest definition: finding information that is not explicitly stated in text. Due to progress in the above research areas, the field of biomedical language processing is ready to address the more advanced text mining problems.

Session Topics

This session focuses on the topic of text data mining in its strictest sense: providing users with information not explicitly stated in text. Work submitted to this session will be required to be more ambitious with respect to either theory or reach than the entity identification, information extraction, and information retrieval projects that comprise most work in biomedical language processing. We especially solicit work in the following areas:

Session Chairs

Pierre Zweigenbaum (Contact person)
Inserm U729; Assistance Publique – Paris Hospitals; Inalco
pz@biomath.jussieu.fr
Dina Demner-Fushman
Lister Hill National Center for Biomedical Communications
U.S. National Library of Medicine
ddemner@mail.nih.gov
Kevin Bretonnel Cohen
Center for Computational Pharmacology
kevin.cohen@gmail.com
Hong Yu
College of Health Sciences
University of Wisconsin-Milwaukee
yuh9001@dbmi.columbia.edu

Submission information

Important dates

[see PSB 2007 key dates]

Paper format

All papers must be submitted to psb-submit @ helix.stanford.edu in PostScript (.ps) or Adobe Acrobat (.pdf) format. Adobe Acrobat is preferred. Attached files should be named with the last name of the first author (e.g. altman.ps or altman.pdf). Hardcopy submissions or unprocessed TeX or LaTeX files will be rejected without review.

Every paper must be accompanied by a cover letter which must include the following:

Submitted papers are limited to twelve (12) pages in the PSB publication format. Please format your paper according to the instructions found at http://psb.stanford.edu/psb-online/psb-submit/. If figures cannot easily be resized and placed precisely in the text, then it should be clear that with appropriate modifications, the total manuscript length would be within the page limit.

Color pictures can be printed at the expense of the authors. The fee is $500 per page of color pictures, payable at the time of camera-ready submission.

Contact Russ Altman (psb-submit @ helix.stanford.edu) for additional information about paper submission requirements.

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