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CIKM
2009
Springer
14 years 2 months ago
Text segmentation via topic modeling: an analytical study
In this paper, the task of text segmentation is approached from a topic modeling perspective. We investigate the use of latent Dirichlet allocation (LDA) topic model to segment a ...
Hemant Misra, François Yvon, Joemon M. Jose...
EMNLP
2007
13 years 9 months ago
Improving Word Sense Disambiguation Using Topic Features
This paper presents a novel approach for exploiting the global context for the task of word sense disambiguation (WSD). This is done by using topic features constructed using the ...
Junfu Cai, Wee Sun Lee, Yee Whye Teh
EMNLP
2008
13 years 9 months ago
Studying the History of Ideas Using Topic Models
How can the development of ideas in a scientific field be studied over time? We apply unsupervised topic modeling to the ACL Anthology to analyze historical trends in the field of...
David Hall, Daniel Jurafsky, Christopher D. Mannin...
ICML
2010
IEEE
13 years 8 months ago
Spherical Topic Models
We introduce the Spherical Admixture Model (SAM), a Bayesian topic model for arbitrary 2 normalized data. SAM maintains the same hierarchical structure as Latent Dirichlet Allocat...
Joseph Reisinger, Austin Waters, Bryan Silverthorn...
PKDD
2010
Springer
154views Data Mining» more  PKDD 2010»
13 years 6 months ago
Topic Models Conditioned on Relations
Latent Dirichlet allocation is a fully generative statistical language model that has been proven to be successful in capturing both the content and the topics of a corpus of docum...
Mirwaes Wahabzada, Zhao Xu, Kristian Kersting