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Volumn 1691, Issue , 2016, Pages 64-66

Kanopy4Tweets: Entity extraction and linking for twitter

Author keywords

Entity linking; Information extraction; Twitter

Indexed keywords

CHARACTER RECOGNITION; GRAPHIC METHODS; INFORMATION RETRIEVAL; NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 84992425343     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 2
    • 84890451186 scopus 로고    scopus 로고
    • Twitie: An open-source information extraction pipeline for microblog text
    • K. Bontcheva et al. Twitie: An open-source information extraction pipeline for microblog text. In RANLP, pages 83-90, 2013.
    • (2013) RANLP , pp. 83-90
    • Bontcheva, K.1
  • 3
    • 18744363418 scopus 로고    scopus 로고
    • A comparison of string metrics for matching names and records
    • W. Cohen et al. A comparison of string metrics for matching names and records. In Kdd workshop on data cleaning and object consolidation, volume 3, pages 73-78, 2003.
    • (2003) Kdd Workshop on Data Cleaning and Object Consolidation , vol.3 , pp. 73-78
    • Cohen, W.1
  • 4
    • 3142696208 scopus 로고    scopus 로고
    • Gate a general architecture for text engineering
    • H. Cunningham. Gate, a general architecture for text engineering. Computers and the Humanities, 36(2):223-254, 2002.
    • (2002) Computers and the Humanities , vol.36 , Issue.2 , pp. 223-254
    • Cunningham, H.1
  • 7
    • 84886574418 scopus 로고    scopus 로고
    • Kanopy: Analysing the semantic network around document topics
    • Springer
    • I. Hulpuş et al. Kanopy: Analysing the semantic network around document topics. In Machine Learning and Knowledge Discovery in Databases, pages 677-680. Springer, 2013.
    • (2013) Machine Learning and Knowledge Discovery in Databases , pp. 677-680
    • Hulpuş, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.