메뉴 건너뛰기




Volumn 51, Issue 2, 2015, Pages 32-49

Analysis of named entity recognition and linking for tweets

Author keywords

Entity disambiguation; Information extraction; Microblogs; Named entity recognition; Twitter

Indexed keywords

COMPUTATIONAL LINGUISTICS; DATA MINING; INFORMATION ANALYSIS; INFORMATION RETRIEVAL; SOCIAL NETWORKING (ONLINE); SPEECH RECOGNITION;

EID: 84911496552     PISSN: 03064573     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ipm.2014.10.006     Document Type: Article
Times cited : (337)

References (59)
  • 2
  • 4
    • 84857720304 scopus 로고    scopus 로고
    • Massive multiplayer human computation for fun, money, and survival
    • Springer
    • L. Biewald Massive multiplayer human computation for fun, money, and survival Current trends in web engineering 2012 Springer 171 176
    • (2012) Current Trends in Web Engineering , pp. 171-176
    • Biewald, L.1
  • 5
    • 84959094117 scopus 로고    scopus 로고
    • Crowdsourcing named entity recognition and entity linking corpora
    • N. Ide, & J. Pustejovsky (Eds.) (in press)
    • Bontcheva, K.; Derczynski, L.; & Roberts, I. (2014). Crowdsourcing named entity recognition and entity linking corpora. In: N. Ide, & J. Pustejovsky (Eds.), The handbook of linguistic annotation (in press).
    • (2014) The Handbook of Linguistic Annotation
    • Bontcheva, K.1    Derczynski, L.2    Roberts, I.3
  • 8
    • 0031360033 scopus 로고    scopus 로고
    • Empirical methods in information extraction
    • Cardie, C. (1997). Empirical methods in information extraction. AI Magazine 18 (4).
    • (1997) AI Magazine , vol.18 , Issue.4
    • Cardie, C.1
  • 9
    • 84874727608 scopus 로고    scopus 로고
    • Microblog language identification: Overcoming the limitations of short, unedited and idiomatic text
    • S. Carter, W. Weerkamp, and E. Tsagkias Microblog language identification: Overcoming the limitations of short, unedited and idiomatic text Language Resources and Evaluation Journal 47 1 2013 195 215
    • (2013) Language Resources and Evaluation Journal , vol.47 , Issue.1 , pp. 195-215
    • Carter, S.1    Weerkamp, W.2    Tsagkias, E.3
  • 21
    • 79958245410 scopus 로고    scopus 로고
    • Amazon mechanical turk: Gold mine or coal mine?
    • K. Fort, G. Adda, and K.B. Cohen Amazon mechanical turk: Gold mine or coal mine? Computational Linguistics 37 2 2011 413 420
    • (2011) Computational Linguistics , vol.37 , Issue.2 , pp. 413-420
    • Fort, K.1    Adda, G.2    Cohen, K.B.3
  • 23
    • 84885004367 scopus 로고    scopus 로고
    • A comparison of knowledge extraction tools for the semantic web
    • Springer
    • A. Gangemi A comparison of knowledge extraction tools for the semantic web The semantic web: Semantics and big data 2013 Springer 351 366
    • (2013) The Semantic Web: Semantics and Big Data , pp. 351-366
    • Gangemi, A.1
  • 32
  • 35
    • 34249852033 scopus 로고
    • Building a large annotated corpus of. English: The Penn Treebank
    • M. Marcus, M. Marcinkiewicz, and B. Santorini Building a large annotated corpus of. English: The Penn Treebank Computational Linguistics 19 2 1993 313 330
    • (1993) Computational Linguistics , vol.19 , Issue.2 , pp. 313-330
    • Marcus, M.1    Marcinkiewicz, M.2    Santorini, B.3
  • 42
    • 47749122510 scopus 로고    scopus 로고
    • A survey of named entity recognition and classification
    • D. Nadeau, and S. Sekine A survey of named entity recognition and classification Lingvisticae Investigationes 30 1 2007 3 26
    • (2007) Lingvisticae Investigationes , vol.30 , Issue.1 , pp. 3-26
    • Nadeau, D.1    Sekine, S.2
  • 53
    • 85000197603 scopus 로고    scopus 로고
    • Shuyo, N. (2010). Language detection library for java. < http://code.google.com/p/language-detection/ >.
    • (2010)
    • Shuyo, N.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.