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AUSAI
2009
Springer
13 years 10 months ago
Adapting Spectral Co-clustering to Documents and Terms Using Latent Semantic Analysis
Abstract. Spectral co-clustering is a generic method of computing coclusters of relational data, such as sets of documents and their terms. Latent semantic analysis is a method of ...
Laurence A. F. Park, Christopher Leckie, Kotagiri ...
AAAI
2010
13 years 4 months ago
A Topic Model for Linked Documents and Update Rules for its Estimation
The latent topic model plays an important role in the unsupervised learning from a corpus, which provides a probabilistic interpretation of the corpus in terms of the latent topic...
Zhen Guo, Shenghuo Zhu, Zhongfei Zhang, Yun Chi, Y...
GROUP
1999
ACM
13 years 11 months ago
Building bridges: customisation and mutual intelligibility in shared category management
Research into collaborative document use often concentrates on how people share document content. However, studies of real-world document practices reveal that the structures by w...
Paul Dourish, John Lamping, Tom Rodden
IAT
2003
IEEE
14 years 4 hour ago
Person Name Identification in Chinese Documents Using Finite State Automata
This research is about automatic identification and extraction of person names in Chinese text documents. Solutions to this problem have immediate and extensive applications in ma...
Bing Shen, Zhongfei (Mark) Zhang, Chunfa Yuan
FLAIRS
2000
13 years 8 months ago
HyperADD: An Incremental and Hybrid Approach for Knowledge Acquisition on Active Design Documents
Many knowledge acquisition approaches have been proposed to minimize the cognitive effort in knowledgebased system construction. The knowledge acquisition approach proposed here p...
Sandro Coimbra Assis, Flávio Miguel Varej&a...