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Frontiers of biomedical text mining: current progress.

by: Pierre Zweigenbaum, Dina Demner-Fushman, Hong Yu, and Kevin B. Cohen

In: Briefings in Bioinformatics, Vol. 8, Nr. 5 (2007) , p. 358-375.

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URL:	http://dblp.uni-trier.de/db/journals/bib/bib8.html#ZweigenbaumDYC07

It is now almost 15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. Enormous progress has been made in the areas of information retrieval, evaluation methodologies and resource construction. Some problems, such as abbreviation-handling, can essentially be considered solved problems, and others, such as identification of gene mentions in text, seem likely to be solved soon. However, a number of problems at the frontiers of biomedical text mining continue to present interesting challenges and opportunities for great improvements and interesting research. In this article we review the current state of the art in biomedical text mining or ‘BioNLP’ in general, focusing primarily on papers published within the past year.

BibTeX record

@article{Zweigenbaum:2007,
  abstract = {It is now almost 15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. Enormous progress has been made in the areas of information retrieval, evaluation methodologies and resource construction. Some problems, such as abbreviation-handling, can essentially be considered solved problems, and others, such as identification of gene mentions in text, seem likely to be solved soon. However, a number of problems at the frontiers of biomedical text mining continue to present interesting challenges and opportunities for great improvements and interesting research. In this article we review the current state of the art in biomedical text mining or ‘BioNLP’ in general, focusing primarily on papers published within the past year.},
  added-at = {2008-11-20T06:55:12.000+0100},
  author = {Zweigenbaum, Pierre and Demner-Fushman, Dina and Yu, Hong and Cohen, Kevin B.},
  biburl = {http://www.bibsonomy.org/bibtex/28f63e984c62fd2dce54c72072d07994f/diego_ma},
  date = {2008-01-14},
  ee = {http://dx.doi.org/10.1093/bib/bbm045},
  interhash = {dbd6009f78f38ddfd1821a49b3e12d27},
  intrahash = {8f63e984c62fd2dce54c72072d07994f},
  journal = {Briefings in Bioinformatics},
  keywords = {NLP text_mining biomedical},
  number = 5,
  pages = {358-375},
  timestamp = {2008-11-20T06:55:12.000+0100},
  title = {Frontiers of biomedical text mining: current progress.},
  url = {http://dblp.uni-trier.de/db/journals/bib/bib8.html#ZweigenbaumDYC07},
  volume = 8,
  year = 2007
}

Endnote record

%0 Journal Article
%1 Zweigenbaum:2007
%A Zweigenbaum, Pierre
%A Demner-Fushman, Dina
%A Yu, Hong
%A Cohen, Kevin B.
%D 2007
%J Briefings in Bioinformatics
%K 
%N 5
%P 358-375
%T Frontiers of biomedical text mining: current progress.
%U http://dblp.uni-trier.de/db/journals/bib/bib8.html#ZweigenbaumDYC07
%V 8
%X It is now almost 15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. Enormous progress has been made in the areas of information retrieval, evaluation methodologies and resource construction. Some problems, such as abbreviation-handling, can essentially be considered solved problems, and others, such as identification of gene mentions in text, seem likely to be solved soon. However, a number of problems at the frontiers of biomedical text mining continue to present interesting challenges and opportunities for great improvements and interesting research. In this article we review the current state of the art in biomedical text mining or ‘BioNLP’ in general, focusing primarily on papers published within the past year.

BibSonomy :: publication ::

Frontiers of biomedical text mining: current progress.

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Abstract

BibTeX record

Endnote record