메뉴 건너뛰기




Volumn , Issue , 2009, Pages 28-36

Learning the scope of hedge cues in biomedical texts

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 78650207232     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (107)

References (28)
  • 1
    • 84914138451 scopus 로고    scopus 로고
    • CoNLL-X shared task on multilingual dependency parsing
    • New York. SIGNLL
    • S. Buchholz and E. Marsi. 2006. CoNLL-X shared task on multilingual dependency parsing. In Proc. of the X CoNLL Shared Task, New York. SIGNLL.
    • (2006) Proc. of the X CoNLL Shared Task
    • Buchholz, S.1    Marsi, E.2
  • 6
    • 0028403632 scopus 로고
    • A general natural-language text processor for clinical radiology
    • C. Friedman, P. Alderson, J. Austin, J.J. Cimino, and S.B. Johnson. 1994. A general natural-language text processor for clinical radiology. JAMIA, 1(2):161-174.
    • (1994) JAMIA , vol.1 , Issue.2 , pp. 161-174
    • Friedman, C.1    Alderson, P.2    Austin, J.3    Cimino, J.J.4    Johnson, S.B.5
  • 9
    • 56649091414 scopus 로고    scopus 로고
    • Recognizing speculative language in biomedical research articles: A linguistically motivated perspective
    • (Suppl 11)
    • H. Kilicoglu and S. Bergler. 2008. Recognizing speculative language in biomedical research articles: A linguistically motivated perspective. BMC Bioinformatics, 9(Suppl 11):S10.
    • (2008) BMC Bioinformatics , vol.9 , pp. S10
    • Kilicoglu, H.1    Bergler, S.2
  • 10
    • 51049088875 scopus 로고    scopus 로고
    • Overview of the protein-protein interaction annotation extraction task of BioCreative II
    • (Suppl 2)
    • M. Krallinger, F. Leitner, C. Rodriguez-Penagos, and A. Valencia. 2008a. Overview of the protein-protein interaction annotation extraction task of BioCreative II. Genome Biology, 9(Suppl 2):S4.
    • (2008) Genome Biology , vol.9 , pp. S4
    • Krallinger, M.1    Leitner, F.2    Rodriguez-Penagos, C.3    Valencia, A.4
  • 11
    • 51049110331 scopus 로고    scopus 로고
    • Linking genes to literature: Text mining, information extraction, and retrieval applications for biology
    • (Suppl 2)
    • M. Krallinger, A. Valencia, and L. Hirschman. 2008b. Linking genes to literature: Text mining, information extraction, and retrieval applications for biology. Genome Biology, 9(Suppl 2):S8.
    • (2008) Genome Biology , vol.9 , pp. S8
    • Krallinger, M.1    Valencia, A.2    Hirschman, L.3
  • 13
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. of ICML 2001, pages 282-289.
    • (2001) Proc. of ICML 2001 , pp. 282-289
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 14
    • 0000354193 scopus 로고
    • Hedges: A study in meaning criteria and the logic of fuzzy concepts
    • G. Lakoff. 1972. Hedges: A study in meaning criteria and the logic of fuzzy concepts. Chicago Linguistics Society Papers, 8:183-228.
    • (1972) Chicago Linguistics Society Papers , vol.8 , pp. 183-228
    • Lakoff, G.1
  • 15
    • 29244479649 scopus 로고    scopus 로고
    • The language of bioscience: Facts, speculations, and statements in between
    • M. Light, X.Y.Qiu, and P. Srinivasan. 2004. The language of bioscience: Facts, speculations, and statements in between. In Proc. of the BioLINK 2004, pages 17-24.
    • (2004) Proc. of the BioLINK 2004 , pp. 17-24
    • Light, M.1    Qiu, X.Y.2    Srinivasan, P.3
  • 16
    • 84860508248 scopus 로고    scopus 로고
    • Weakly supervised learning for hedge classification in scientific literature
    • B. Medlock and T. Briscoe. 2007. Weakly supervised learning for hedge classification in scientific literature. In Proc. of ACL 2007, pages 992-999.
    • (2007) Proc. of ACL 2007 , pp. 992-999
    • Medlock, B.1    Briscoe, T.2
  • 17
    • 46649112949 scopus 로고    scopus 로고
    • Exploring hedge identification in biomedical literature
    • B. Medlock. 2008. Exploring hedge identification in biomedical literature. JBI, 41:636-654.
    • (2008) JBI , vol.41 , pp. 636-654
    • Medlock, B.1
  • 18
    • 33747848888 scopus 로고    scopus 로고
    • Extracting protein-protein interaction information from biomedical text with svm
    • T. Mitsumori, M. Murata, Y. Fukuda, K Doi, and H. Doi. 2006. Extracting protein-protein interaction information from biomedical text with svm. IEICE - Trans. Inf. Syst., E89-D(8):2464-2466.
    • (2006) IEICE - Trans. Inf. Syst , vol.E89-D , Issue.8 , pp. 2464-2466
    • Mitsumori, T.1    Murata, M.2    Fukuda, Y.3    Doi, K4    Doi, H.5
  • 19
    • 84862290017 scopus 로고    scopus 로고
    • A metalearning approach to processing the scope of negation
    • Boulder, Colorado
    • R. Morante and W. Daelemans. 2009. A metalearning approach to processing the scope of negation. In Proc. of CoNLL 2009, Boulder, Colorado.
    • (2009) Proc. of CoNLL 2009
    • Morante, R.1    Daelemans, W.2
  • 22
    • 85032610029 scopus 로고    scopus 로고
    • The BioScope corpus: Annotation for negation, uncertainty and their scope in biomedical texts
    • Columbus, Ohio. ACL
    • G. Szarvas, V. Vincze, R. Farkas, and J. Csirik. 2008. The BioScope corpus: Annotation for negation, uncertainty and their scope in biomedical texts. In Proc. of BioNLP 2008, pages 38-45, Columbus, Ohio. ACL.
    • (2008) Proc. of BioNLP 2008 , pp. 38-45
    • Szarvas, G.1    Vincze, V.2    Farkas, R.3    Csirik, J.4
  • 23
    • 56649108622 scopus 로고    scopus 로고
    • Hedge classification in biomedical texts with a weakly supervised selection of keywords
    • Columbus, Ohio, USA. ACL
    • G. Szarvas. 2008. Hedge classification in biomedical texts with a weakly supervised selection of keywords. In Proc. of ACL 2008, pages 281-289, Columbus, Ohio, USA. ACL.
    • (2008) Proc. of ACL 2008 , pp. 281-289
    • Szarvas, G.1
  • 25
    • 80053254837 scopus 로고    scopus 로고
    • Bidirectional inference with the easiest-first strategy for tagging sequence data
    • Y. Tsuruoka and J. Tsujii. 2005. Bidirectional inference with the easiest-first strategy for tagging sequence data. In Proc. of HLT/EMNLP 2005, pages 467-474.
    • (2005) Proc. of HLT/EMNLP 2005 , pp. 467-474
    • Tsuruoka, Y.1    Tsujii, J.2
  • 26
    • 33646502601 scopus 로고    scopus 로고
    • Advances in Informatics - 10th Panhellenic Conference on Informatics, volume 3746 of LNCS, chapter Part-of-Speech Tagger for Biomedical Text
    • Springer, Berlin/Heidelberg
    • Y. Tsuruoka, Y. Tateishi, J. Kim, T. Ohta, J. McNaught, S. Ananiadou, and J. Tsujii, 2005. Advances in Informatics - 10th Panhellenic Conference on Informatics, volume 3746 of LNCS, chapter Part-of-Speech Tagger for Biomedical Text, Advances in Informatics, pages 382-392. Springer, Berlin/Heidelberg.
    • (2005) Advances in Informatics , pp. 382-392
    • Tsuruoka, Y.1    Tateishi, Y.2    Kim, J.3    Ohta, T.4    McNaught, J.5    Ananiadou, S.6    Tsujii, J.7
  • 28
    • 56649109912 scopus 로고    scopus 로고
    • The BioScope corpus: Biomedical texts annotated for uncertainty, negation and their scopes
    • (Suppl 11)
    • V. Vincze, G. Szarvas, R. Farkas, G. Móra, and J. Csirik. 2008. The BioScope corpus: Biomedical texts annotated for uncertainty, negation and their scopes. BMC Bioinformatics, 9(Suppl 11):S9.
    • (2008) BMC Bioinformatics , vol.9 , pp. S9
    • Vincze, V.1    Szarvas, G.2    Farkas, R.3    Móra, G.4    Csirik, J.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.