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Volumn , Issue , 2006, Pages 1422-1427

Constructing a Chinese chat language corpus with a two-stage incremental annotation approach

Author keywords

Chat language; Corpus annotation; Natural language processing

Indexed keywords

KNOWLEDGE BASED SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; TEXT PROCESSING;

EID: 84860499553     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (2)

References (11)
  • 4
    • 85039899761 scopus 로고    scopus 로고
    • From call center to contact center: How to successfully blend phone, email, web and chat to deliver great service and slash costs
    • Gianforte, G. 2003. From Call Center to Contact Center: How to Successfully Blend Phone, Email, Web and Chat to Deliver Great Service and Slash Costs. Right-Now Technologies.
    • (2003) Right-Now Technologies
    • Gianforte, G.1
  • 6
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Joachims, T.. 1998. Text categorization with Support Vector Machines: Learning with many relevant features. ECML'98, pp. 137-142.
    • (1998) ECML'98 , pp. 137-142
    • Joachims, T.1
  • 7
    • 49049098870 scopus 로고    scopus 로고
    • Security officials to spy on chat rooms
    • November 24, 2004
    • McCullagh, D. 2004. Security officials to spy on chat rooms. News provided by CNET Networks. November 24, 2004.
    • (2004) News Provided by CNET Networks
    • McCullagh, D.1
  • 8
    • 49049120366 scopus 로고    scopus 로고
    • Final report for project of Effective use of CHAT in Online Learning, Institute of Education, University of London.
    • Heard-White, M., G. Saunders and A. Pincas. 2004. Report into the use of CHAT in education. Final report for project of Effective use of CHAT in Online Learning, Institute of Education, University of London.
    • (2004) Report into the use of CHAT in Education
    • Heard-White, M.1    Saunders, G.2    Pincas, A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.