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Global Models of Document Structure using Latent Permutations
Harr Chen
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S.R.K. Branavan
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Regina Barzilay
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David R. Karger
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Paper Details:
Month: June
Year: 2009
Location: Boulder, Colorado
Venue:
NAACL |
Citations
URL
Unsupervised learning of rhetorical structure with un-topic models
Diarmuid Ó Séaghdha
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Simone Teufel
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Exploiting Conversation Structure in Unsupervised Topic Segmentation for Emails
Shafiq Joty
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Giuseppe Carenini
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Gabriel Murray
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Raymond T. Ng
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Mixed Membership Markov Models for Unsupervised Conversation Modeling
Michael J. Paul
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Modelling Sequential Text with an Adaptive Topic Model
Lan Du
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Wray Buntine
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Huidong Jin
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The Labeled Segmentation of Printed Books
Lara McConnaughey
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Jennifer Dai
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David Bamman
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Character-based kernels for novelistic plot structure
Micha Elsner
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Text Segmentation as a Supervised Learning Task
Omri Koshorek
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Adir Cohen
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Noam Mor
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Michael Rotman
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Jonathan Berant
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A Latent Dirichlet Allocation Method for Selectional Preferences
Alan Ritter
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Mausam
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Oren Etzioni
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Structural Topic Model for Latent Topical Structure Analysis
Hongning Wang
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Duo Zhang
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ChengXiang Zhai
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Bilingual Segmented Topic Model
Akihiro Tamura
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Eiichiro Sumita
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Which Step Do I Take First? Troubleshooting with Bayesian Models
Annie Louis
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Mirella Lapata
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Discourse Structure and Computation: Past, Present and Future
Bonnie Webber
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Aravind Joshi
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http://groups.csail.mit.edu/rbg/code/mallows/
http://glaros.dtc.umn.edu/gkhome/views/cluto/
Field Of Study
Linguistic Trends
Discourse
Task
Information Extraction
Summarization
Machine Translation
Approach
Topic Modeling
Bayesian Model
Unsupervised Learning
Language
English
Dataset
News
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