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» Joint latent topic models for text and citations
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INTERSPEECH
2010
14 years 4 months ago
Extractive summarization using a latent variable model
Extractive multi-document summarization is the task of choosing sentences from a set of documents to compose a summary text in response to a user query. We propose a generative ap...
Asli Çelikyilmaz, Dilek Hakkani-Tür
SIGIR
2011
ACM
14 years 13 days ago
Collective topic modeling for heterogeneous networks
In this paper, we propose a joint probabilistic topic model for simultaneously modeling the contents of multi-typed objects of a heterogeneous information network. The intuition b...
Hongbo Deng, Bo Zhao, Jiawei Han
ACL
2012
13 years 18 hour ago
Fine Granular Aspect Analysis using Latent Structural Models
In this paper, we present a structural learning model for joint sentiment classification and aspect analysis of text at various levels of granularity. Our model aims to identify ...
Lei Fang, Minlie Huang
104
Voted
ICML
2006
IEEE
15 years 10 months ago
Pachinko allocation: DAG-structured mixture models of topic correlations
Latent Dirichlet allocation (LDA) and other related topic models are increasingly popular tools for summarization and manifold discovery in discrete data. However, LDA does not ca...
Wei Li, Andrew McCallum
AAAI
2012
13 years 4 hour ago
A Search Algorithm for Latent Variable Models with Unbounded Domains
This paper concerns learning and prediction with probabilistic models where the domain sizes of latent variables have no a priori upper-bound. Current approaches represent prior d...
Michael Chiang, David Poole