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» Modeling Sentences in the Latent Space
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ECIR
2006
Springer
15 years 1 months ago
Sentence Retrieval with LSI and Topic Identification
This paper presents two sentence retrieval methods. We adopt the task definition done in the TREC Novelty Track: sentence retrieval consists in the extraction of the relevant sente...
David Parapar, Alvaro Barreiro
NECO
1998
116views more  NECO 1998»
14 years 11 months ago
GTM: The Generative Topographic Mapping
Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example ...
Christopher M. Bishop, Markus Svensén, Chri...
IFIP12
2004
15 years 1 months ago
Introducing a Star Topology into Latent Class Models for Collaborative Filtering
Latent class models (LCM) represent the high dimensional data in a smaller dimensional space in terms of latent variables. They are able to automatically discover the patterns from...
Gabriela Polcicova, Peter Tiño
115
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COLING
2010
14 years 6 months ago
Near-synonym Lexical Choice in Latent Semantic Space
We explore the near-synonym lexical choice problem using a novel representation of near-synonyms and their contexts in the latent semantic space. In contrast to traditional latent...
Tong Wang, Graeme Hirst
CICLING
2010
Springer
15 years 4 months ago
Integer Linear Programming for Dutch Sentence Compression
Sentence compression is a valuable task in the framework of text summarization. In this paper we compress sentences from news articles from Dutch and Flemish newspapers written in ...
Jan De Belder, Marie-Francine Moens