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COLING
2008
13 years 11 months ago
Modeling Chinese Documents with Topical Word-Character Models
As Chinese text is written without word boundaries, effectively recognizing Chinese words is like recognizing collocations in English, substituting characters for words and words ...
Wei Hu, Nobuyuki Shimizu, Hiroshi Nakagawa, Huanye...
CORR
2012
Springer
220views Education» more  CORR 2012»
12 years 5 months ago
Sparse Topical Coding
We present sparse topical coding (STC), a non-probabilistic formulation of topic models for discovering latent representations of large collections of data. Unlike probabilistic t...
Jun Zhu, Eric P. Xing
AAAI
2010
13 years 11 months ago
A Two-Dimensional Topic-Aspect Model for Discovering Multi-Faceted Topics
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...
Michael Paul, Roxana Girju
IEICET
2008
110views more  IEICET 2008»
13 years 9 months ago
Language Modeling Using PLSA-Based Topic HMM
In this paper, we propose a PLSA-based language model for sports live speech. This model is implemented in unigram rescaling technique that combines a topic model and an n-gram. I...
Atsushi Sako, Tetsuya Takiguchi, Yasuo Ariki
ISI
2006
Springer
13 years 9 months ago
Analyzing Entities and Topics in News Articles Using Statistical Topic Models
Statistical language models can learn relationships between topics discussed in a document collection and persons, organizations and places mentioned in each document. We present a...
David Newman, Chaitanya Chemudugunta, Padhraic Smy...