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Volumn 1, Issue , 2014, Pages 165-174

Weakly supervised user profile extraction from twitter

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS;

EID: 84906926393     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3115/v1/p14-1016     Document Type: Conference Paper
Times cited : (114)

References (29)
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    • Faiyaz Zamal, Wendy Liu, and Derek Ruths. 2012. Homophily and latent attribute inference: Inferring latent attributes of twitter users from neighbors. In ICWSM.
    • (2012) ICWSM
    • Zamal, F.1    Liu, W.2    Ruths, D.3
  • 3
    • 0003146263 scopus 로고    scopus 로고
    • Extracting patterns and relations from the world wide web
    • Sergey Brin. 1999. Extracting patterns and relations from the world wide web. In The World Wide Web and Databases.
    • (1999) The World Wide Web and Databases
    • Brin, S.1
  • 6
    • 0033290514 scopus 로고    scopus 로고
    • Constructing biological knowledge bases by extracting information from text sources
    • Mark Craven and Johan Kumlien 1999. Constructing biological knowledge bases by extracting information from text sources. In ISMB, volume 1999, pages 77-86.
    • (1999) ISMB , vol.1999 , pp. 77-86
    • Craven, M.1    Kumlien, J.2
  • 9
    • 84859048059 scopus 로고    scopus 로고
    • Knowledgebased weak supervision for information extraction of overlapping relations
    • Raphael Hoffmann, Congle Zhang, Xiao Ling, Luke S Zettlemoyer, and Daniel SWeld. 2011. Knowledgebased weak supervision for information extraction of overlapping relations. In ACL, pages 541-550.
    • (2011) ACL , pp. 541-550
    • Hoffmann, R.1    Zhang, C.2    Ling, X.3    Zettlemoyer, L.S.4    Sweld, D.5
  • 12
    • 84883300452 scopus 로고    scopus 로고
    • Whats in a name? Using first names as features for gender inference in twitter
    • Wendy Liu and Derek Ruths. 2013. Whats in a name? using first names as features for gender inference in twitter. In 2013 AAAI Spring Symposium Series.
    • (2013) 2013 AAAI Spring Symposium Series
    • Liu, W.1    Ruths, D.2
  • 17
  • 18
    • 85064472811 scopus 로고    scopus 로고
    • A machine learning approach to twitter user classification
    • Marco Pennacchiotti and Ana Popescu. 2011. A machine learning approach to twitter user classification. In ICWSM.
    • (2011) ICWSM
    • Pennacchiotti, M.1    Popescu, A.2
  • 22
    • 85013169200 scopus 로고    scopus 로고
    • Hierarchical bayesian models for latent attribute detection in social media
    • Delip Rao, Michael Paul, Clayton Fink, David Yarowsky, Timothy Oates, and Glen Coppersmith. 2011. Hierarchical bayesian models for latent attribute detection in social media. In ICWSM.
    • (2011) ICWSM
    • Rao, D.1    Paul, M.2    Fink, C.3    Yarowsky, D.4    Oates, T.5    Coppersmith, G.6
  • 23
    • 84875589774 scopus 로고    scopus 로고
    • Literature mining of protein-residue associations with graph rules learned through distant supervision
    • Haibin Liu, Michael Wall, Karin Verspoor, et al. 2012. Literature mining of protein-residue associations with graph rules learned through distant supervision. Journal of biomedical semantics, 3(Suppl 3):S2.
    • (2012) Journal of Biomedical Semantics , vol.3 , Issue.SUPPL. 3
    • Liu, H.1    Wall, M.2    Verspoor, K.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.