메뉴 건너뛰기




Volumn , Issue , 2013, Pages 380-390

Improved part-of-speech tagging for online conversational text with word clusters

Author keywords

[No Author keywords available]

Indexed keywords

NATURAL LANGUAGE PROCESSING SYSTEMS; SOCIAL NETWORKING (ONLINE); SYNTACTICS;

EID: 84919651291     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (579)

References (38)
  • 1
    • 0036995423 scopus 로고    scopus 로고
    • Using part-of-speech patterns to reduce query ambiguity
    • J. Allan and H. Raghavan. 2002. Using part-of-speech patterns to reduce query ambiguity. In Proc. of SIGIR.
    • (2002) Proc. of SIGIR
    • Allan, J.1    Raghavan, H.2
  • 2
    • 73549088698 scopus 로고    scopus 로고
    • Scalable training of L1-regularized log-linear models
    • G. Andrew and J. Gao. 2007. Scalable training of L1-regularized log-linear models. In Proc. of ICML.
    • (2007) Proc. of ICML
    • Andrew, G.1    Gao, J.2
  • 3
    • 84859081708 scopus 로고    scopus 로고
    • A hierarchical Pitman-Yor process HMM for unsupervised part of speech induction
    • P. Blunsom and T. Cohn. 2011. A hierarchical Pitman-Yor process HMM for unsupervised part of speech induction. In Proc. of ACL.
    • (2011) Proc. of ACL
    • Blunsom, P.1    Cohn, T.2
  • 4
    • 84868092500 scopus 로고    scopus 로고
    • Cool: Using word lengthening to detect sentiment in microblogs
    • S. Brody and N. Diakopoulos. 2011. Cool: Using word lengthening to detect sentiment in microblogs. In Proc. of EMNLP.
    • (2011) Proc. of EMNLP
    • Brody, S.1    Diakopoulos, N.2
  • 7
    • 85094918571 scopus 로고    scopus 로고
    • Combining distributional and morphological information for part of speech induction
    • A. Clark. 2003. Combining distributional and morphological information for part of speech induction. In Proc. of EACL.
    • (2003) Proc. of EACL
    • Clark, A.1
  • 8
    • 84859093122 scopus 로고    scopus 로고
    • Discovering sociolinguistic associations with structured sparsity
    • J. Eisenstein, N. A. Smith, and E. P. Xing. 2011. Discovering sociolinguistic associations with structured sparsity. In Proc. of ACL.
    • (2011) Proc. of ACL
    • Eisenstein, J.1    Smith, N.A.2    Xing, E.P.3
  • 9
    • 84926139009 scopus 로고    scopus 로고
    • What to do about bad language on the internet
    • J. Eisenstein. 2013. What to do about bad language on the internet. In Proc. of NAACL.
    • (2013) Proc. of NAACL
    • Eisenstein, J.1
  • 10
    • 80053288463 scopus 로고    scopus 로고
    • Identifying relations for open information extraction
    • A. Fader, S. Soderland, and O. Etzioni. 2011. Identifying relations for open information extraction. In Proc. of EMNLP.
    • (2011) Proc. of EMNLP
    • Fader, A.1    Soderland, S.2    Etzioni, O.3
  • 11
    • 47749097953 scopus 로고    scopus 로고
    • Lexical and discourse analysis of online chat dialog
    • E. N. Forsyth and C. H. Martell. 2007. Lexical and discourse analysis of online chat dialog. In Proc. of ICSC.
    • (2007) Proc. of ICSC
    • Forsyth, E.N.1    Martell, C.H.2
  • 15
    • 84868318139 scopus 로고    scopus 로고
    • Google
    • Google. 2012. Freebase data dumps. http:// download. freebase. com/datadumps/.
    • (2012) Freebase Data Dumps
  • 16
    • 84856325125 scopus 로고    scopus 로고
    • Lexical normalisation of short text messages: Makn sens a #twitter
    • B. Han and T. Baldwin. 2011. Lexical normalisation of short text messages: Makn sens a #twitter. In Proc. of ACL.
    • (2011) Proc. of ACL
    • Han, B.1    Baldwin, T.2
  • 18
    • 0142192295 scopus 로고    scopus 로고
    • Conditional random fields: Probabilistic models for segmenting and labeling sequence data
    • J. Lafferty, A. McCallum, and F. Pereira. 2001. Conditional random fields: Probabilistic models for segmenting and labeling sequence data. In Proc. of ICML.
    • (2001) Proc. of ICML
    • Lafferty, J.1    McCallum, A.2    Pereira, F.3
  • 20
    • 33646887390 scopus 로고
    • On the limited memory BFGS method for large scale optimization
    • D. C. Liu and J. Nocedal. 1989. On the limited memory BFGS method for large scale optimization. Mathematical programming, 45(1).
    • (1989) Mathematical Programming , vol.45 , Issue.1
    • Liu, D.C.1    Nocedal, J.2
  • 22
    • 85118481535 scopus 로고    scopus 로고
    • Langid. Py: An off-Theshelf language identification tool
    • M. Lui and T. Baldwin. 2012. langid. py: An off-Theshelf language identification tool. In Proc. of ACL.
    • (2012) Proc. of ACL
    • Lui, M.1    Baldwin, T.2
  • 24
    • 0000747663 scopus 로고    scopus 로고
    • Maximum entropy Markov models for information extraction and segmentation
    • A. McCallum, D. Freitag, and F. Pereira. 2000. Maximum entropy Markov models for information extraction and segmentation. In Proc. of ICML.
    • (2000) Proc. of ICML
    • McCallum, A.1    Freitag, D.2    Pereira, F.3
  • 31
    • 85124016637 scopus 로고    scopus 로고
    • A maximum entropy model for part-of-speech tagging
    • A. Ratnaparkhi. 1996. A maximum entropy model for part-of-speech tagging. In Proc. of EMNLP.
    • (1996) Proc. of EMNLP
    • Ratnaparkhi, A.1
  • 32
    • 80053238545 scopus 로고    scopus 로고
    • Named entity recognition in tweets: An experimental study
    • A. Ritter, S. Clark, Mausam, and O. Etzioni. 2011. Named entity recognition in tweets: An experimental study. In Proc. of EMNLP.
    • (2011) Proc. of EMNLP
    • Ritter, A.1    Clark, S.2    Mausam, E.O.3
  • 34
    • 84859905260 scopus 로고    scopus 로고
    • Contrastive estimation: Training log-linear models on unlabeled data
    • N. A. Smith and J. Eisner. 2005. Contrastive estimation: Training log-linear models on unlabeled data. In Proc. of ACL.
    • (2005) Proc. of ACL
    • Smith, N.A.1    Eisner, J.2
  • 35
    • 84926163994 scopus 로고    scopus 로고
    • Cross-lingual word clusters for direct transfer of linguistic structure
    • O. Täckström, R. McDonald, and J. Uszkoreit. 2012. Cross-lingual word clusters for direct transfer of linguistic structure. In Proc. of NAACL.
    • (2012) Proc. of NAACL
    • Täckström, O.1    McDonald, R.2    Uszkoreit, J.3
  • 36
    • 80053495924 scopus 로고    scopus 로고
    • Word representations: A simple and general method for semisupervised learning
    • J. Turian, L. Ratinov, and Y. Bengio. 2010. Word representations: A simple and general method for semisupervised learning. In Proc. of ACL.
    • (2010) Proc. of ACL
    • Turian, J.1    Ratinov, L.2    Bengio, Y.3
  • 37
    • 85136072040 scopus 로고    scopus 로고
    • Thumbs up or thumbs down?: Semantic orientation applied to unsupervised classification of reviews
    • P. D. Turney. 2002. Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews. In Proc. of ACL.
    • (2002) Proc. of ACL
    • Turney, P.D.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.