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Volumn , Issue , 2009, Pages 242-245

Detecting Topic Drift with Compound Topic Models

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 84900675005     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1609/icwsm.v3i1.13982     Document Type: Conference Paper
Times cited : (15)

References (16)
  • 2
    • 85029434098 scopus 로고    scopus 로고
    • Catching the drift: Probabilistic content models, with applications to generation and summarization
    • Barzilay, R., and Lee, L. 2004. Catching the drift: Probabilistic content models, with applications to generation and summarization. In HLT-NAACL 2004: Proceedings of the Main Conference, 113-120.
    • (2004) HLT-NAACL 2004: Proceedings of the Main Conference , pp. 113-120
    • Barzilay, R.1    Lee, L.2
  • 5
    • 85167417403 scopus 로고    scopus 로고
    • Energy Information Administration, U. D. o. E
    • Energy Information Administration, U. D. o. E. 2008. U.S. retail gasoline historical prices, regular grade. http://www.eia.doe.gov/oil_gas/petroleum/data_publications/wrgp/mogas_history.html.
    • (2008) U.S. retail gasoline historical prices, regular grade


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.