48 search results - page 2 / 10 » Gaussian LDA for Topic Models with Word Embeddings |
ICDM
2007
IEEE
15 years 4 months ago
2007
IEEE
Statistical topic models such as the Latent Dirichlet Allocation (LDA) have emerged as an attractive framework to model, visualize and summarize large document collections in a co...
WIAMIS
2009
IEEE
15 years 5 months ago
2009
IEEE
This paper suggests an alternative solution for the task of spoken document retrieval (SDR). The proposed system runs retrieval on multi-level transcriptions (word and phone) prod...
ECIR
2010
Springer
14 years 12 months ago
2010
Springer
Topic models have been studied extensively in the context of monolingual corpora. Though there are some attempts to mine topical structure from cross-lingual corpora, they require ...
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KDD
2010
ACM
15 years 2 months ago
2010
ACM
One of the important approaches for Knowledge discovery and Data mining is to estimate unobserved variables because latent variables can indicate hidden and specific properties o...
AIRS
2009
Springer
15 years 5 months ago
2009
Springer
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...