메뉴 건너뛰기




Volumn 10, Issue 3-4, 2007, Pages 187-198

Finding structure in noisy text: Topic classification and unsupervised clustering

Author keywords

Clustering; Hidden markov model; Topic classification; Unsupervised topic discovery

Indexed keywords

CLASSIFICATION (OF INFORMATION); CLUSTER ANALYSIS; DATA STRUCTURES; HIDDEN MARKOV MODELS;

EID: 37249040962     PISSN: 14332833     EISSN: 14332825     Source Type: Journal    
DOI: 10.1007/s10032-007-0057-x     Document Type: Conference Paper
Times cited : (5)

References (23)
  • 3
    • 0032264186 scopus 로고    scopus 로고
    • Distributional clustering of words for text classification
    • In: ACM, Melbourne
    • Baker, L.D., McCallum A.: Distributional clustering of words for text classification. In: Proceedings of ACM SIGIR. ACM, Melbourne, pp. 96-103 (1998)
    • (1998) Proceedings of ACM SIGIR , pp. 96-103
    • Baker, L.D.1    McCallum, A.2
  • 6
    • 0028996935 scopus 로고
    • Improved topic spotting through statistical modeling of keyword dependencies
    • In: IEEE, Detroit
    • Wright, J. H., Carey, J. M., Parris, E. S.: Improved topic spotting through statistical modeling of keyword dependencies. In: Proceedings IEEE ICASSP. IEEE, Detroit, pp. 313-316 (1995)
    • (1995) Proceedings IEEE ICASSP , pp. 313-316
    • Wright, J.H.1    Carey, J.M.2    Parris, E.S.3
  • 9
    • 37249012651 scopus 로고    scopus 로고
    • An algorithm for unsupervised topic discovery from broadcast news stories
    • In: Marcus, M. (eds) ACM, San Diego
    • Sista S., Schwartz R., Leek T. and Makhoul J. (2002). An algorithm for unsupervised topic discovery from broadcast news stories. In: Marcus, M. (eds) Proceedings of ACM HLT. ACM, San Diego
    • (2002) Proceedings of ACM HLT
    • Sista, S.1    Schwartz, R.2    Leek, T.3    Makhoul, J.4
  • 10
    • 37249003065 scopus 로고    scopus 로고
    • The 20 Newsgroup (20 NG) Corpus
    • The 20 Newsgroup (20 NG) Corpus, http://www.people.csail.mit.edu/jrennie/ 20Newsgroups/
  • 12
    • 85149113738 scopus 로고    scopus 로고
    • Word clustering and disambiguation based on co-occurrence data
    • Li, H., Abe, N.: Word clustering and disambiguation based on co-occurrence data. In: Proceedings of COLING-ACL, pp. 749-755 (1998)
    • (1998) Proceedings of COLING-ACL , pp. 749-755
    • Li, H.1    Abe, N.2
  • 14
    • 84880663504 scopus 로고    scopus 로고
    • The cluster-abstraction model: Unsupervised learning of topic hierarchies from text data
    • In: IJCAI, Stockholm
    • Hofmann, T.: The cluster-Ubstraction model: unsupervised learning of topic hierarchies from text data. In: Proceedings of IJCAI. IJCAI, Stockholm, pp. 682-687 (1999)
    • (1999) Proceedings of IJCAI , pp. 682-687
    • Hofmann, T.1
  • 15
    • 3543147086 scopus 로고    scopus 로고
    • Recent trends in hierarchical document clustering: A critical review
    • Willet P. (1998). Recent trends in hierarchical document clustering: A critical review. Inform. Process. Manage. 24(5): 577-597
    • (1998) Inform. Process. Manage. , vol.24 , Issue.5 , pp. 577-597
    • Willet, P.1
  • 16
    • 85009225107 scopus 로고    scopus 로고
    • Unsupervised topic discovery applied to segmentation of news transcriptions
    • In: ISCA, Geneva
    • Sista, S., Srivastava A., Kubala, F., Schwartz R.: Unsupervised topic discovery applied to segmentation of news transcriptions. In: Proceedings of Eurospeech. ISCA, Geneva, pp. 2833-2836 (2003)
    • (2003) Proceedings of Eurospeech , pp. 2833-2836
    • Sista, S.1    Srivastava, A.2    Kubala, F.3    Schwartz, R.4
  • 17
    • 37249046728 scopus 로고
    • The unsupervised acquisition of lexicon from continuous speech
    • In: A.I. Memo No. 1558
    • Marcken, C.: The unsupervised acquisition of lexicon from continuous speech. In: MIT Artificial Intelligence Laboratory, A.I. Memo No. 1558 (1995)
    • (1995) MIT Artificial Intelligence Laboratory
    • Marcken, C.1
  • 18
    • 37249030190 scopus 로고    scopus 로고
    • Minimum Description Length (MDL) phrases
    • Technical Report 010405TRL
    • Leek, T.R.: Minimum Description Length (MDL) phrases. BBN Technologies, Technical Report 010405TRL (2001)
    • (2001) BBN Technologies
    • Leek, T.R.1
  • 19
    • 0032632354 scopus 로고    scopus 로고
    • An Algorithm that learns what's in a name
    • Bikel D., Schwartz R. and Weischedel R. (1999). An Algorithm that learns what's in a name. Machine Learning 34(1-3): 211-231
    • (1999) Machine Learning , vol.34 , Issue.1-3 , pp. 211-231
    • Bikel, D.1    Schwartz, R.2    Weischedel, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.