Effect of utilizing terminology on extraction of protein-protein interaction information from biomedical literature

10th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2003

Volumn , Issue , 2003, Pages 107-110

  Hosaka, Junko ^a   Koh, Judice L Y ^b   Konagaya, Akihiko ^a  

^a RIKEN YOKOHAMA INSTITUTE   (Japan)

^b INSTITUTE FOR INFOCOMM RESEARCH   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; PROTEINS; SYNTACTICS;

AUTOMATIC PROCESSING; BIOMEDICAL DOMAIN; BIOMEDICAL LITERATURE; INTERACTION INFORMATION; LANGUAGE PROCESSING; PERFORMANCE; PROTEIN-PROTEIN INTERACTIONS; SCIENTIFIC LITERATURE; SYNTACTIC PARSING;

TERMINOLOGY;

EID: 7444256408     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (6)

1. Blaschke, Christian and Valencia, Alfonso. 2001. The potential use of SUISEKI as a protein interaction discovery tool. Genome Informatics, 12: 123-134.
2. Carletta, Jean, et al. 1997. The reliability of a Dialogue Structure Coding Scheme. Computational Linguistics, 23(1): 13-31.
3. Friedman, Carol, et.al. 2001. GENIES: a natural-language processing system for the extraction of molecular pathways from journal articles. Proc. of ISMB, 17(Supp1.1): S74-S82.
4. Hosaka, Junko and Umetsu, Ryo. 2002. Toward the extraction of protein-protein interaction information from immunology literature. Proc. of IPSJSIG-NL,150: 15-20.
5. Jenssen, Tor-Kristian, et al. 2001. A literature network of human genes for high-throughput analysis of gene expression. Nature Genetics, 28: 21-28.
6. Yakushiji, Akane, et al. 2001. Event extraction from biomedical papers using a full parser. Proc. of PSB, 6: 408-419.