Literature DB >> 11072324

Developing NLP Tools for Genome Informatics: An Information Extraction Perspective.

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Abstract

Huge quantities of on-line medical texts such as Medline are available, and we would hope to extract useful information from these resources, as much as possible, hopefully in an automatic way, with the aid of computer technologies. Especially, recent advances in Natural Language Processing (NLP) techniques raise new challenges and opportunities for tackling genome-related on-line text; combining NLP techniques with genome informatics extends beyond the traditional realms of either technology to a variety of emerging applications. In this paper, we explain some of our current efforts for developing various NLP-based tools for tackling genome-related on-line documents for information extraction task.

Year:  1998        PMID: 11072324

Source DB:  PubMed          Journal:  Genome Inform Ser Workshop Genome Inform


  3 in total

1.  Associating genes with gene ontology codes using a maximum entropy analysis of biomedical literature.

Authors:  Soumya Raychaudhuri; Jeffrey T Chang; Patrick D Sutphin; Russ B Altman
Journal:  Genome Res       Date:  2002-01       Impact factor: 9.043

2.  EDGAR: extraction of drugs, genes and relations from the biomedical literature.

Authors:  T C Rindflesch; L Tanabe; J N Weinstein; L Hunter
Journal:  Pac Symp Biocomput       Date:  2000

3.  Can bibliographic pointers for known biological data be found automatically? Protein interactions as a case study.

Authors:  C Blaschke; A Valencia
Journal:  Comp Funct Genomics       Date:  2001
  3 in total

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