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Lateen EM: Unsupervised Training with Multiple Objectives, Applied to Dependency Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Paper Details:
Month: July
Year: 2011
Location: Edinburgh, Scotland, UK.
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Survey on the Use of Typological Information in Natural Language Processing
Helen O’Horan
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Yevgeni Berzak
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Ivan Vulić
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Roi Reichart
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Anna Korhonen
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Exploiting Reducibility in Unsupervised Dependency Parsing
David Mareček
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Zdeněk Žabokrtský
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Three Dependency-and-Boundary Models for Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Breaking Out of Local Optima with Count Transforms and Model Recombination: A Study in Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Weakly-Supervised Learning with Cost-Augmented Contrastive Estimation
Kevin Gimpel
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Mohit Bansal
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Cross-lingual Word Clusters for Direct Transfer of Linguistic Structure
Oscar Täckström
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Ryan McDonald
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Jakob Uszkoreit
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Multi-Metric Optimization Using Ensemble Tuning
Baskaran Sankaran
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Anoop Sarkar
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Kevin Duh
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Learning to Translate with Multiple Objectives
Kevin Duh
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Katsuhito Sudoh
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Xianchao Wu
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Hajime Tsukada
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Masaaki Nagata
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Fast Unsupervised Dependency Parsing with Arc-Standard Transitions
Mohammad Sadegh Rasooli
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Heshaam Faili
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Capitalization Cues Improve Dependency Grammar Induction
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Unsupervised Dependency Parsing using Reducibility and Fertility features
David Mareček
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Zdeněk Žabokrtský
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http://www.britannica.com/
http://allitera.tive.org/
http://landscapedvd.com/
http://nlp.stanford.edu/pubs/
http://rss.acs.unt.edu/Rdoc/library/multtest/
Field Of Study
Task
Tagging
Language
Chinese
English
Japanese
Spanish
Arabic
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