메뉴 건너뛰기




Volumn 26, Issue 5, 2010, Pages 661-667

Disambiguating the species of biomedical named entities using natural language parsers

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL INTELLIGENCE; DATA MINING; FACTUAL DATABASE; METHODOLOGY; NATURAL LANGUAGE PROCESSING; NOMENCLATURE; SPECIES DIFFERENCE;

EID: 77949622808     PISSN: 13674803     EISSN: 14602059     Source Type: Journal    
DOI: 10.1093/bioinformatics/btq002     Document Type: Article
Times cited : (47)

References (31)
  • 1
    • 56649104323 scopus 로고    scopus 로고
    • A graph kernel for protein-protein interaction extraction
    • Columbus, Ohio
    • Airola, A. et al. (2008) A graph kernel for protein-protein interaction extraction. In Proceedings of BioNLP, Columbus, Ohio.
    • (2008) Proceedings of BioNLP
    • Airola, A.1
  • 2
    • 40549106856 scopus 로고    scopus 로고
    • Assisted curation: does text mining really help?
    • Alex, B. et al. (2008) Assisted curation: does text mining really help? Pac. Symp. Biocompu., 13, 556-567.
    • (2008) Pac. Symp. Biocompu. , vol.13 , pp. 556-567
    • Alex, B.1
  • 3
    • 33751111173 scopus 로고    scopus 로고
    • Text mining and its potential applications in systems biology
    • Ananiadou, S. et al. (2006) Text mining and its potential applications in systems biology. Trends Biotechnol., 24, 571-579.
    • (2006) Trends Biotechnol. , vol.24 , pp. 571-579
    • Ananiadou, S.1
  • 5
    • 13444256580 scopus 로고    scopus 로고
    • Gene name ambiguity of eukaryotic nomenclatures
    • Chen, L. et al. (2005) Gene name ambiguity of eukaryotic nomenclatures. Bioinformatics, 21, 248-256.
    • (2005) Bioinformatics , vol.21 , pp. 248-256
    • Chen, L.1
  • 6
    • 37249086043 scopus 로고    scopus 로고
    • Wide-coverage efficient statistical parsing with CCG and log-linear models
    • Clark, S. and Curran, J.R. (2007) Wide-coverage efficient statistical parsing with CCG and log-linear models. Comput. Linguist., 33, 493-552.
    • (2007) Comput. Linguist. , vol.33 , pp. 493-552
    • Clark, S.1    Curran, J.R.2
  • 7
    • 33947313690 scopus 로고    scopus 로고
    • Data preparation and interannotator agreement: BioCreAtIvE task 1B
    • Colosimo, M. et al. (2005) Data preparation and interannotator agreement: BioCreAtIvE task 1B. BMC Bioinformatics, 6 (Suppl. 1), S11.
    • (2005) BMC Bioinformatics , vol.6 , Issue.SUPPL. 1
    • Colosimo, M.1
  • 10
    • 49549120418 scopus 로고    scopus 로고
    • Inter-species normalization of gene mentions with GNAT
    • Hakenberg, J. et al. (2008) Inter-species normalization of gene mentions with GNAT. Bioinformatics, 24, i126-i132.
    • (2008) Bioinformatics , vol.24
    • Hakenberg, J.1
  • 11
    • 59549096633 scopus 로고    scopus 로고
    • Evaluating impact of re-training a lexical disambiguation model on domain adaptation of an HPSG parser
    • Prague, Czech Republic
    • Hara, T. et al. (2007) Evaluating impact of re-training a lexical disambiguation model on domain adaptation of an HPSG parser. In Proceedings of the 10th International Conference on Parsing Technology, Prague, Czech Republic, pp. 11-22.
    • (2007) Proceedings of the 10th International Conference on Parsing Technology , pp. 11-22
    • Hara, T.1
  • 12
    • 33947321307 scopus 로고    scopus 로고
    • Overview of BioCreAtIvE task 1B: normalised gene lists
    • Hirschman, L. et al. (2005) Overview of BioCreAtIvE task 1B: normalised gene lists. BMC Bioinformatics, 6 (Suppl. 1), S11.
    • (2005) BMC Bioinformatics , vol.6 , Issue.SUPPL. 1
    • Hirschman, L.1
  • 13
    • 33344465511 scopus 로고    scopus 로고
    • Biomedical language processing: what's beyond PubMed
    • Hunter, L. and Cohen, K.B. (2006) Biomedical language processing: what's beyond PubMed. Mol. Cell, 21, 589-594.
    • (2006) Mol. Cell , vol.21 , pp. 589-594
    • Hunter, L.1    Cohen, K.B.2
  • 15
    • 67650714409 scopus 로고    scopus 로고
    • U-Compare: share and compare text mining tools with UIMA
    • Kano, Y. et al. (2009) U-Compare: share and compare text mining tools with UIMA. Bioinformatics, 25, 1997-1998.
    • (2009) Bioinformatics , vol.25 , pp. 1997-1998
    • Kano, Y.1
  • 16
    • 77949917478 scopus 로고    scopus 로고
    • TX task: automatic detection of focus organisms in biomedical publications
    • Boulder, Colorado
    • Kappeler, F. et al. (2009) TX task: automatic detection of focus organisms in biomedical publications. In Proceedings of BioNLP, Boulder, Colorado.
    • (2009) Proceedings of BioNLP
    • Kappeler, F.1
  • 18
    • 51049084462 scopus 로고    scopus 로고
    • Evaluation of text-mining systems for biology: overview of the Second BioCreAtIvE community challenge
    • Krallinger, M. et al. (2008) Evaluation of text-mining systems for biology: overview of the Second BioCreAtIvE community challenge. Genome Biol., 9 (Suppl. 2), S1.
    • (2008) Genome Biol. , vol.9 , Issue.SUPPL. 2
    • Krallinger, M.1
  • 20
    • 84874277359 scopus 로고    scopus 로고
    • Combining multiple layers of syntactic information for proteinprotein interaction extraction
    • Turku, Finland
    • Miwa, M. et al. (2008) Combining multiple layers of syntactic information for proteinprotein interaction extraction. In Proceedings of the 3rd International Symposium on Semantic Mining in Biomedicine, Turku, Finland, pp. 101-108.
    • (2008) Proceedings of the 3rd International Symposium on Semantic Mining in Biomedicine , pp. 101-108
    • Miwa, M.1
  • 21
    • 41549159851 scopus 로고    scopus 로고
    • Feature forest models for probabilistic HPSG parsing
    • Miyao, Y. and Tsujii, J. (2008) Feature forest models for probabilistic HPSG parsing. Comput. Linguist., 34, 35-80.
    • (2008) Comput. Linguist. , vol.34 , pp. 35-80
    • Miyao, Y.1    Tsujii, J.2
  • 22
    • 59549091756 scopus 로고    scopus 로고
    • Evaluating contributions of natural language parsers to proteinprotein interaction extraction
    • Miyao, Y. et al. (2009) Evaluating contributions of natural language parsers to proteinprotein interaction extraction. Bioinformatics, 25, 394-400.
    • (2009) Bioinformatics , vol.25 , pp. 394-400
    • Miyao, Y.1
  • 27
    • 0041627757 scopus 로고    scopus 로고
    • A simple algorithm for identifying abbreviation definitions in biomedical text
    • Schwartz, A.S. and Hearst, M.A. (2003) A simple algorithm for identifying abbreviation definitions in biomedical text. Pac. Symp. Biocompu., 8, 451-462.
    • (2003) Pac. Symp. Biocompu. , vol.8 , pp. 451-462
    • Schwartz, A.S.1    Hearst, M.A.2
  • 28
    • 25144520247 scopus 로고    scopus 로고
    • ABNER: an open source tool for automatically tagging genes, proteins, and other entity names in text
    • Settles, B. (2005)ABNER: an open source tool for automatically tagging genes, proteins, and other entity names in text. Bioinformatics, 21, 3191-3192.
    • (2005) Bioinformatics , vol.21 , pp. 3191-3192
    • Settles, B.1
  • 31
    • 56649083754 scopus 로고    scopus 로고
    • Distinguishing the species of biomedical named entities for term identification
    • Wang, X. and Matthews, M. (2008) Distinguishing the species of biomedical named entities for term identification. BMC Bioinformatics, 9 (Suppl. 11), S6.
    • (2008) BMC Bioinformatics , vol.9 , Issue.SUPPL. 11
    • Wang, X.1    Matthews, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.