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» A kernel-based approach to document retrieval
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EACL
2006
ACL Anthology
13 years 11 months ago
Computing Term Translation Probabilities with Generalized Latent Semantic Analysis
Term translation probabilities proved an effective method of semantic smoothing in the language modelling approach to information retrieval. We use Generalized Latent Semantic Ana...
Irina Matveeva, Gina-Anne Levow
CORR
1998
Springer
79views Education» more  CORR 1998»
13 years 9 months ago
Linear Segmentation and Segment Significance
We present a new method for discovering a segmental discourse structure of a document while categorizing each segment's function and importance. Segments are determined by a ...
Min-Yen Kan, Judith L. Klavans, Kathleen McKeown
CIKM
2009
Springer
14 years 4 months ago
Potential collaboration discovery using document clustering and community structure detection
Complex network analysis is a growing research area in a wide variety of domains and has recently become closely associated with data, text and web mining. One of the most active ...
Cristian Klen dos Santos, Alexandre Evsukoff, Beat...
AND
2010
13 years 8 months ago
Reshaping automatic speech transcripts for robust high-level spoken document analysis
High-level spoken document analysis is required in many applications seeking access to the semantic content of audio data, such as information retrieval, machine translation or au...
Julien Fayolle, Fabienne Moreau, Christian Raymond...
SIGMOD
2010
ACM
132views Database» more  SIGMOD 2010»
13 years 4 months ago
Durable top-k search in document archives
We propose and study a new ranking problem in versioned databases. Consider a database of versioned objects which have different valid instances along a history (e.g., documents i...
Leong Hou U, Nikos Mamoulis, Klaus Berberich, Srik...