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UAI
2008
15 years 5 months ago
Latent Topic Models for Hypertext
Latent topic models have been successfully applied as an unsupervised topic discovery technique in large document collections. With the proliferation of hypertext document collect...
Amit Gruber, Michal Rosen-Zvi, Yair Weiss
125
Voted
ICASSP
2011
IEEE
14 years 7 months ago
Concept-based classification for multi-document summarization
Documents often contain inherently many concepts reflecting specific and generic aspects. To automatically generate a short summary text of documents on similar topics, it is im...
Asli Çelikyilmaz, Dilek Hakkani-Tür
CIKM
2004
Springer
15 years 9 months ago
A practical web-based approach to generating topic hierarchy for text segments
It is crucial in many information systems to organize short text segments, such as keywords in documents and queries from users, into a well-formed topic hierarchy. In this paper,...
Shui-Lung Chuang, Lee-Feng Chien
148
Voted
KDD
2007
ACM
124views Data Mining» more  KDD 2007»
15 years 10 months ago
Hierarchical mixture models: a probabilistic analysis
Mixture models form one of the most widely used classes of generative models for describing structured and clustered data. In this paper we develop a new approach for the analysis...
Mark Sandler
CICLING
2008
Springer
15 years 5 months ago
Arabic/English Multi-document Summarization with CLASSY - The Past and the Future
Abstract. Automatic document summarization has become increasingly important due to the quantity of written material generated worldwide. Generating good quality summaries enables ...
Judith D. Schlesinger, Dianne P. O'Leary, John M. ...