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ICASSP
2008
IEEE
14 years 3 months ago
Unsupervised language model adaptation via topic modeling based on named entity hypotheses
Language model (LM) adaptation is often achieved by combining a generic LM with a topic-specific model that is more relevant to the target document. Unlike previous work on unsup...
Yang Liu, Feifan Liu
IPM
2007
105views more  IPM 2007»
13 years 8 months ago
Schema and constraints-based matching and merging of Topic Maps
In this paper, we propose a multi-strategic matching and merging approach to find correspondences between ontologies based on the syntactic or semantic characteristics and constr...
Jung-Min Kim, Hyopil Shin, Hyoung-Joo Kim
WWW
2008
ACM
14 years 9 months ago
Modeling online reviews with multi-grain topic models
In this paper we present a novel framework for extracting the ratable aspects of objects from online user reviews. Extracting such aspects is an important challenge in automatical...
Ivan Titov, Ryan T. McDonald
ICML
2009
IEEE
14 years 9 months ago
Accounting for burstiness in topic models
Gabriel Doyle, Charles Elkan
ACL
2010
13 years 6 months ago
Cross-Lingual Latent Topic Extraction
Probabilistic latent topic models have recently enjoyed much success in extracting and analyzing latent topics in text in an unsupervised way. One common deficiency of existing to...
Duo Zhang, Qiaozhu Mei, ChengXiang Zhai