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» Modeling Sentences in the Latent Space
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ECIR
2006
Springer
13 years 8 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»
13 years 7 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
13 years 8 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
COLING
2010
13 years 2 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
14 years 14 days 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