Abstract | ||
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Current information extraction efforts in the biomedical domain tend to focus on finding entities and facts in structured databases or MEDLINE® abstracts. We apply a gene and protein name tagger trained on Medline abstracts (ABGene) to a randomly selected set of full text journal articles in the biomedical domain. We show the effect of adaptations made in response to the greater heterogeneity of full text. |
Year | DOI | Venue |
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2002 | 10.3115/1118149.1118151 | ACL Workshop on Natural Language Processing in the Biomedical Domain |
Keywords | Field | DocType |
information extraction | Information retrieval,Computer science,Information extraction,Artificial intelligence,Natural language processing,MEDLINE | Conference |
Citations | PageRank | References |
32 | 3.30 | 12 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Lorraine Tanabe | 1 | 383 | 29.80 |
W. John Wilbur | 2 | 430 | 45.66 |