48 search results - page 3 / 10 » Gaussian LDA for Topic Models with Word Embeddings |
106
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BMCBI
2006
14 years 10 months ago
2006
Background: The statistical modeling of biomedical corpora could yield integrated, coarse-to-fine views of biological phenomena that complement discoveries made from analysis of m...
114
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AAAI
2010
14 years 11 months ago
2010
This paper presents the Topic-Aspect Model (TAM), a Bayesian mixture model which jointly discovers topics and aspects. We broadly define an aspect of a document as a characteristi...
92
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NIPS
2007
14 years 12 months ago
2007
We present a novel paradigm for statistical machine translation (SMT), based on a joint modeling of word alignment and the topical aspects underlying bilingual document-pairs, via...
114
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ICML
2006
IEEE
15 years 11 months ago
2006
IEEE
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
107
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ACML
2009
Springer
15 years 5 months ago
2009
Springer
Abstract. Topic models are a discrete analogue to principle component analysis and independent component analysis that model topic at the word level within a document. They have ma...