North American Chapter of the Association for Computational Linguistics · 2004 · 184 citations · 17 references
ComputingBiomedical InformaticsComputer ScienceBiomedical Text MiningComputational LinguisticsNatural Language ProcessingAnnotationClinical Natural Language ProcessingCorpus AnnotationInformation ExtractionRelation ExtractionSyntactic AnnotationBiomedical Information ExtractionInformation Extraction From Biomedical TextRelation Extraction From Biomedical Text
We describe an approach to two areas of biomedical information extraction, drug development and cancer genomics. We have developed a framework which includes corpus annotation integrated at multiple levels: a Treebank containing syntactic structure, a Propbank containing predicate-argument structure, and annotation of entities and relations among the entities. Crucial to this approach is the proper characterization of entities as relation components, which allows the integration of the entity annotation with the syntactic structure while retaining the capacity to annotate and extract more complex events. We are training statistical taggers using this annotation for such extraction as well as using them for improving the annotation process.
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Gene Ontology: tool for the unification of biology
Michael Ashburner, Catherine A. Ball, Judith A. Blake et al. · Nature Genetics · 2000 · 44.6K citations · Full text
Shallow parsing with conditional random fields
Fei Sha, Fernando Pereira · 2003 · 1.3K citations · Full text
Treebank Penn · Medical Entomology and Zoology · 1999 · 657 citations
Paul Kingsbury, Martha Palmer · 2002 · 539 citations · Full text