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117
Voted
KDD
2006
ACM
175views Data Mining» more  KDD 2006»
16 years 2 months ago
A mixture model for contextual text mining
Contextual text mining is concerned with extracting topical themes from a text collection with context information (e.g., time and location) and comparing/analyzing the variations...
Qiaozhu Mei, ChengXiang Zhai
131
Voted
ACL
2012
13 years 4 months ago
Historical Analysis of Legal Opinions with a Sparse Mixed-Effects Latent Variable Model
We propose a latent variable model to enhance historical analysis of large corpora. This work extends prior work in topic modelling by incorporating metadata, and the interactions...
William Yang Wang, Elijah Mayfield, Suresh Naidu, ...
120
Voted
ICASSP
2011
IEEE
14 years 6 months ago
Relevance language modeling for speech recognition
Language models for speech recognition tend to be brittle across domains, since their performance is vulnerable to changes in the genre or topic of the text on which they are trai...
Kuan-Yu Chen, Berlin Chen
98
Voted
ICMCS
2006
IEEE
129views Multimedia» more  ICMCS 2006»
15 years 8 months ago
Modeling Interactions from Email Communication
Email plays an important role as a medium for the spread of information, ideas, and influence among its users. We present a framework to learn topic-based interactions between pa...
Dong Zhang, Daniel Gatica-Perez, Deb Roy, Samy Ben...
136
Voted
JSW
2008
96views more  JSW 2008»
15 years 2 months ago
A Collaborative Inter-Data Grid Strong Semantic Model with Hybrid Namespace
The Data Grid, like all other collaboration models, has strict rules for contributors to follow and many criteria to abide with. Namespace is one of the rules that govern the contr...
Dalia El-Mansy, Ahmed Sameh