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Structured Sparsity in Structured Prediction
André Martins
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Noah Smith
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Mário Figueiredo
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Pedro Aguiar
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Paper Details:
Month: July
Year: 2011
Location: Edinburgh, Scotland, UK.
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Structured Penalties for Log-Linear Language Models
Anil Kumar Nelakanti
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Cédric Archambeau
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Julien Mairal
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Francis Bach
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Guillaume Bouchard
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This Text Has the Scent of Starbucks: A Laplacian Structured Sparsity Model for Computational Branding Analytics
William Yang Wang
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Edward Lin
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John Kominek
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Speed-Accuracy Tradeoffs in Tagging with Variable-Order CRFs and Structured Sparsity
Tim Vieira
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Ryan Cotterell
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Jason Eisner
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Learning the Structure of Variable-Order CRFs: a finite-state perspective
Thomas Lavergne
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François Yvon
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Penalized Expectation Propagation for Graphical Models over Strings
Ryan Cotterell
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Jason Eisner
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Part-of-speech tagging with antagonistic adversaries
Anders Søgaard
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Linguistic Structured Sparsity in Text Categorization
Dani Yogatama
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Noah A. Smith
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Low-Resource Semantic Role Labeling
Matthew R. Gormley
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Margaret Mitchell
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Benjamin Van Durme
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Mark Dredze
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Low-Rank Tensors for Scoring Dependency Structures
Tao Lei
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Yu Xin
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Yuan Zhang
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Regina Barzilay
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Tommi Jaakkola
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Learning Dynamic Feature Selection for Fast Sequential Prediction
Emma Strubell
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Luke Vilnis
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Kate Silverstein
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Andrew McCallum
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Sparse Overcomplete Word Vector Representations
Manaal Faruqui
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Yulia Tsvetkov
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Dani Yogatama
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Chris Dyer
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Noah A. Smith
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An Algebra for Feature Extraction
Vivek Srikumar
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“Love ya, jerkface”: Using Sparse Log-Linear Models to Build Positive and Impolite Relationships with Teens
William Yang Wang
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Samantha Finkelstein
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Amy Ogan
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Alan W Black
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Justine Cassell
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Multi-Task Learning for Improved Discriminative Training in SMT
Patrick Simianer
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Stefan Riezler
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http://www.lsi.upc.es/
Field Of Study
Approach
Structured Prediction
Language
Multilingual
English
Japanese
Spanish
Arabic
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