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» Gaussian LDA for Topic Models with Word Embeddings
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NIPS
2004
14 years 11 months ago
Parametric Embedding for Class Visualization
In this paper, we propose a new method, Parametric Embedding (PE), for visualizing the posteriors estimated over a mixture model. PE simultaneously embeds both objects and their c...
Tomoharu Iwata, Kazumi Saito, Naonori Ueda, Sean S...
98
Voted
KDD
2008
ACM
244views Data Mining» more  KDD 2008»
15 years 10 months ago
Probabilistic latent semantic visualization: topic model for visualizing documents
We propose a visualization method based on a topic model for discrete data such as documents. Unlike conventional visualization methods based on pairwise distances such as multi-d...
Tomoharu Iwata, Takeshi Yamada, Naonori Ueda
COLING
2010
14 years 5 months ago
Finding the Storyteller: Automatic Spoiler Tagging using Linguistic Cues
Given a movie comment, does it contain a spoiler? A spoiler is a comment that, when disclosed, would ruin a surprise or reveal an important plot detail. We study automatic methods...
Sheng Guo, Naren Ramakrishnan
MST
2006
81views more  MST 2006»
14 years 10 months ago
Local Limit Properties for Pattern Statistics and Rational Models
Motivated by problems of pattern statistics, we study the limit distribution of the random variable counting the number of occurrences of the symbol a in a word of length n chosen...
Alberto Bertoni, Christian Choffrut, Massimiliano ...
80
Voted
WWW
2007
ACM
15 years 11 months ago
Generative models for name disambiguation
Name ambiguity is a special case of identity uncertainty where one person can be referenced by multiple name variations in different situations or even share the same name with ot...
Yang Song, Jian Huang 0002, Isaac G. Councill, Jia...