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Estimators for Stochastic “Unification-Based” Grammars
Mark Johnson
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Stuart Geman
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Stephen Canon
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Zhiyi Chi
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Stefan Riezler
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Paper Details:
Month: June
Year: 1999
Location: College Park, Maryland, USA
Venue:
ACL |
Citations
URL
Exploiting auxiliary distributions in stochastic unification-based grammars
Mark Johnson
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Stefan Riezler
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An Empirical Evaluation of LFG-DOP
Rens Bod
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Estimation of Stochastic Attribute-Value Grammars using an Informative Sample
Miles Osborne
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A Generative Probability Model for Unification-Based Grammars
Helmut Schmid
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A Novel Disambiguation Method for Unification-Based Grammars Using Probabilistic Context-Free Approximations
Bernd Kiefer
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Hans-Ulrich Krieger
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Detlef Prescher
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Improved Iterative Scaling Can Yield Multiple Globally Optimal Models with Radically Differing Performance Levels
Iain Bancarz
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Miles Osborne
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The LinGO Redwoods Treebank: Motivation and Preliminary Applications
Stephan Oepen
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Kristina Toutanova
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Stuart Shieber
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Christopher Manning
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Dan Flickinger
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Thorsten Brants
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Deep Linguistic Analysis for the Accurate Identification of Predicate-Argument Relations
Yusuke Miyao
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Jun’ichi Tsujii
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Structured Prediction Models via the Matrix-Tree Theorem
Terry Koo
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Amir Globerson
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Xavier Carreras
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Michael Collins
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Online Learning of Relaxed CCG Grammars for Parsing to Logical Form
Luke Zettlemoyer
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Michael Collins
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Exploiting Parse Structures for Native Language Identification
Sze-Meng Jojo Wong
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Mark Dras
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Investigating GIS and Smoothing for Maximum Entropy Taggers
James R. Curran
|
Stephen Clark
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Structural Correspondence Learning for Parse Disambiguation
Barbara Plank
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Improving a Strong Neural Parser with Conjunction-Specific Features
Jessica Ficler
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Yoav Goldberg
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Hidden-Variable Models for Discriminative Reranking
Terry Koo
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Michael Collins
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Probabilistic Top-Down Parsing and Language Modeling
Brian Roark
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Discriminative Reranking for Natural Language Parsing
Michael Collins
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Terry Koo
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Weighted and Probabilistic Context-Free Grammars Are Equally Expressive
Noah A. Smith
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Mark Johnson
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Wide-Coverage Efficient Statistical Parsing with CCG and Log-Linear Models
Stephen Clark
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James R. Curran
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Speculation and Negation: Rules, Rankers, and the Role of Syntax
Erik Velldal
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Lilja Øvrelid
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Jonathon Read
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Stephan Oepen
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Treelet Probabilities for HPSG Parsing and Error Correction
Angelina Ivanova
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Gertjan van Noord
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Statistical Sentence Condensation using Ambiguity Packing and Stochastic Disambiguation Methods for Lexical-Functional Grammar
Stefan Riezler
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Tracy H. King
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Richard Crouch
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Annie Zaenen
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Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network
Kristina Toutanova
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Dan Klein
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Christopher D. Manning
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Yoram Singer
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Ensemble-based Active Learning for Parse Selection
Miles Osborne
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Jason Baldridge
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Effective Self-Training for Parsing
David McClosky
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Eugene Charniak
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Mark Johnson
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Chart Mining-based Lexical Acquisition with Precision Grammars
Yi Zhang
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Timothy Baldwin
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Valia Kordoni
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David Martinez
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Jeremy Nicholson
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Lexicalized Stochastic Modeling of Constraint-Based Grammars using Log-Linear Measures and EM Training
Stefan Riezler
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Detlef Prescher
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Jonas Kuhn
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Mark Johnson
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Joint and Conditional Estimation of Tagging and Parsing Models
Mark Johnson
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OT Syntax – Decidability of Generation-based Optimization
Jonas Kuhn
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New Ranking Algorithms for Parsing and Tagging: Kernels over Discrete Structures, and the Voted Perceptron
Michael Collins
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Nigel Duffy
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Parsing the Wall Street Journal using a Lexical-Functional Grammar and Discriminative Estimation Techniques
Stefan Riezler
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Tracy H. King
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Ronald M. Kaplan
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Richard Crouch
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John T. Maxwell III
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Mark Johnson
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Dynamic programming for parsing and estimation of stochastic unification-based grammars
Stuart Geman
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Mark Johnson
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Building Deep Dependency Structures using a Wide-Coverage CCG Parser
Stephen Clark
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Julia Hockenmaier
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Mark Steedman
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Ranking Algorithms for Named Entity Extraction: Boosting and the VotedPerceptron
Michael Collins
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Discriminative Language Modeling with Conditional Random Fields and the Perceptron Algorithm
Brian Roark
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Murat Saraclar
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Michael Collins
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Mark Johnson
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Incremental Parsing with the Perceptron Algorithm
Michael Collins
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Brian Roark
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Using Conditional Random Fields to Predict Pitch Accents in Conversational Speech
Michelle Gregory
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Yasemin Altun
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Probabilistic Disambiguation Models for Wide-Coverage HPSG Parsing
Yusuke Miyao
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Jun’ichi Tsujii
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Coarse-to-Fine n-Best Parsing and MaxEnt Discriminative Reranking
Eugene Charniak
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Mark Johnson
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Contrastive Estimation: Training Log-Linear Models on Unlabeled Data
Noah A. Smith
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Jason Eisner
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Discriminative Syntactic Language Modeling for Speech Recognition
Michael Collins
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Brian Roark
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Murat Saraclar
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Discriminative Classifiers for Deterministic Dependency Parsing
Johan Hall
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Joakim Nivre
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Jens Nilsson
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A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
Jianfeng Gao
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Galen Andrew
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Mark Johnson
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Kristina Toutanova
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Learning Context-Dependent Mappings from Sentences to Logical Form
Luke Zettlemoyer
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Michael Collins
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Reversible Stochastic Attribute-Value Grammars
Daniël de Kok
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Barbara Plank
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Gertjan van Noord
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Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network
Zhisong Zhang
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Hai Zhao
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Lianhui Qin
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A Comparison of Algorithms for Maximum Entropy Parameter Estimation
Robert Malouf
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Feature Selection for a Rich HPSG Grammar Using Decision Trees
Kristina Toutanova
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Christopher D. Manning
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A model of syntactic disambiguation based on lexicalized grammars
Yusuke Miyao
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Jun’ichi Tsujii
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Active learning for HPSG parse selection
Jason Baldridge
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Miles Osborne
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Log-Linear Models for Wide-Coverage CCG Parsing
Stephen Clark
|
James Curran
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Investigating Loss Functions and Optimization Methods for Discriminative Learning of Label Sequences
Yasemin Altun
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Mark Johnson
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Thomas Hofmann
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Efficient Incremental Beam-Search Parsing with Generative and Discriminative Models
Brian Roark
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Max-Margin Parsing
Ben Taskar
|
Dan Klein
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Mike Collins
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Daphne Koller
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Christopher Manning
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Active Learning and the Total Cost of Annotation
Jason Baldridge
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Miles Osborne
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Bilingual Parsing with Factored Estimation: Using English to Parse Korean
David A. Smith
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Noah A. Smith
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Incremental Feature Selection and l1 Regularization for Relaxed Maximum-Entropy Modeling
Stefan Riezler
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Alexander Vasserman
|
Efficacy of Beam Thresholding, Unification Filtering and Hybrid Parsing in Probabilistic HPSG Parsing
Takashi Ninomiya
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Yoshimasa Tsuruoka
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Yusuke Miyao
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Jun’ichi Tsujii
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Extremely Lexicalized Models for Accurate and Fast HPSG Parsing
Takashi Ninomiya
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Takuya Matsuzaki
|
Yoshimasa Tsuruoka
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Yusuke Miyao
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Jun’ichi Tsujii
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Statistical Ranking in Tactical Generation
Erik Velldal
|
Stephan Oepen
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Perceptron Training for a Wide-Coverage Lexicalized-Grammar Parser
Stephen Clark
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James Curran
|
Filling Statistics with Linguistics – Property Design for the Disambiguation of German LFG Parses
Martin Forst
|
Partial Parse Selection for Robust Deep Processing
Yi Zhang
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Valia Kordoni
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Erin Fitzgerald
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Efficiency in Unification-Based N-Best Parsing
Yi Zhang
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Stephan Oepen
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John Carroll
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A log-linear model with an n-gram reference distribution for accurate HPSG parsing
Takashi Ninomiya
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Takuya Matsuzaki
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Yusuke Miyao
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Jun’ichi Tsujii
|
TAG, Dynamic Programming, and the Perceptron for Efficient, Feature-Rich Parsing
Xavier Carreras
|
Michael Collins
|
Terry Koo
|
How the Statistical Revolution Changes (Computational) Linguistics
Mark Johnson
|
A Virtual Manipulative for Learning Log-Linear Models
Francis Ferraro
|
Jason Eisner
|
No URLs Found
Field Of Study
Language
English
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