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Volumn , Issue , 2006, Pages 158-161

Word segmentation and named entity recognition for SIGHAN Bakeoff3

Author keywords

[No Author keywords available]

Indexed keywords

CHINESE WORD SEGMENTATION; F MEASURE; FEATURE-BASED; MAXIMUM ENTROPY MODELS; MULTIPLE SOURCE; NAMED ENTITIES; NAMED ENTITY RECOGNITION; PROBABILISTICS; SEGMENTER; WORD SEGMENTATION;

EID: 85119978463     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (72)

References (6)
  • 1
    • 0002652285 scopus 로고    scopus 로고
    • A Maximum Entropy Approach to Natural Language Processing
    • A L Berger. 1996. A Maximum Entropy Approach to Natural Language Processing. Computational Linguistic, 22 (1): 39-71.
    • (1996) Computational Linguistic , vol.22 , Issue.1 , pp. 39-71
    • Berger, A L1
  • 4
    • 2342444973 scopus 로고    scopus 로고
    • Automatic Recognition of Chinese Personal Name Based on Role Tagging
    • ZHANG Hua-ping and Liu Qun. 2004 Automatic Recognition of Chinese Personal Name Based on Role Tagging. CHINESE JOURNAL OF COMPUTERS Vol (27) pp 85-91.
    • (2004) CHINESE JOURNAL OF COMPUTERS , vol.27 , pp. 85-91
    • ZHANG, Hua-ping1    Qun, Liu2
  • 5
    • 2342422808 scopus 로고    scopus 로고
    • Leveled unknown Chinese Words resolution by dynamic programming
    • Lv YaJuan, ZhaoTie-jun et al. 2001. Leveled unknown Chinese Words resolution by dynamic programming. Journal Information Processing, 15(1): 28-33.
    • (2001) Journal Information Processing , vol.15 , Issue.1 , pp. 28-33
    • Lv, YaJuan1    ZhaoTie-jun2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.