메뉴 건너뛰기




Volumn , Issue , 2009, Pages 185-192

TEXT2TABLE: Medical Text Summarization System based on Named Entity Recognition and Modality Identification

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; CLASSIFICATION (OF INFORMATION); COMPUTATIONAL LINGUISTICS; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS; TEXT PROCESSING;

EID: 85097479009     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (69)

References (21)
  • 9
    • 34247380744 scopus 로고    scopus 로고
    • A novel hybrid approach to automated negation detection in clinical radiology reports
    • Yang Huang and Henry J. Lowe. 2007. A novel hybrid approach to automated negation detection in clinical radiology reports. Journal of the American Medical Informatics Association, 14(3):304-311.
    • (2007) Journal of the American Medical Informatics Association , vol.14 , Issue.3 , pp. 304-311
    • Huang, Yang1    Lowe, Henry J.2
  • 12
    • 84937319048 scopus 로고
    • A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures
    • Sadao Kurohashi and Makoto Nagao. 1994. A syntactic analysis method of long Japanese sentences based on the detection of conjunctive structures. Computational Linguistics, 20(4).
    • (1994) Computational Linguistics , vol.20 , Issue.4
    • Kurohashi, Sadao1    Nagao, Makoto2
  • 16
    • 47749092082 scopus 로고    scopus 로고
    • Determining Modality and Factuality for Text Entailment
    • R. Saurí, and J. Pustejovsky: Determining Modality and Factuality for Text Entailment, Proceedings of ICSC2007, pp. 509-516 (2007).
    • (2007) Proceedings of ICSC2007 , pp. 509-516
    • Saurí, R.1    Pustejovsky, J.2
  • 18
    • 29244457023 scopus 로고    scopus 로고
    • College of American Pathologists
    • SNOMED-CT. 2002. SNOMED Clinical Terms Guide. College of American Pathologists.
    • (2002) SNOMED Clinical Terms Guide


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.