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» Sparse Latent Semantic Analysis
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PRL
2006
119views more  PRL 2006»
14 years 9 months ago
Exploring the use of latent topical information for statistical Chinese spoken document retrieval
Information retrieval which aims to provide people with easy access to all kinds of information is now becoming more and more emphasized. However, most approaches to information r...
Berlin Chen
COLING
2010
14 years 4 months ago
Word Space Modeling for Measuring Semantic Specificity in Chinese
The aim of this study is to use the word-space model to measure the semantic loads of single verbs, profile verbal lexicon acquisition, and explore the semantic information on Chi...
Ching-Fen Pan, Shu-Kai Hsieh
CIVR
2008
Springer
166views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Non-negative matrix factorisation for object class discovery and image auto-annotation
In information retrieval, sub-space techniques are usually used to reveal the latent semantic structure of a data-set by projecting it to a low dimensional space. Non-negative mat...
Jiayu Tang, Paul H. Lewis
ICASSP
2009
IEEE
14 years 7 months ago
Probabilistic matrix tri-factorization
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
Jiho Yoo, Seungjin Choi
EMNLP
2011
13 years 9 months ago
Bootstrapping Semantic Parsers from Conversations
Conversations provide rich opportunities for interactive, continuous learning. When something goes wrong, a system can ask for clarification, rewording, or otherwise redirect the...
Yoav Artzi, Luke S. Zettlemoyer