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Parsing Algorithms and Metrics
Joshua Goodman
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Paper Details:
Month: June
Year: 1996
Location: Santa Cruz, California, USA
Venue:
ACL |
Citations
URL
Robust German Noun Chunking With a Probabilistic Context-Free Grammar
Helmut Schmid
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Sabine Schulte im Walde
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Probabilistic Models of Nonprojective Dependency Trees
David A. Smith
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Noah A. Smith
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Joint Morphological and Syntactic Disambiguation
Shay B. Cohen
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Noah A. Smith
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Dependency Parsing by Belief Propagation
David Smith
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Jason Eisner
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Lattice Minimum Bayes-Risk Decoding for Statistical Machine Translation
Roy Tromble
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Shankar Kumar
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Franz Och
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Wolfgang Macherey
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Training a Log-Linear Parser with Loss Functions via Softmax-Margin
Michael Auli
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Adam Lopez
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Improving NLP through Marginalization of Hidden Syntactic Structure
Jason Naradowsky
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Sebastian Riedel
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David Smith
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Training Factored PCFGs with Expectation Propagation
David Hall
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Dan Klein
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Diversity in Spectral Learning for Natural Language Parsing
Shashi Narayan
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Shay B. Cohen
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evision PDF of 'LSTM Shift-Reduce CCG Parsing
Wenduan Xu
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Adapting Topic Models using Lexical Associations with Tree Priors
Weiwei Yang
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Jordan Boyd-Graber
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Philip Resnik
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Spectral Learning for Non-Deterministic Dependency Parsing
Franco M. Luque
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Ariadna Quattoni
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Borja Balle
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Xavier Carreras
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Tree Annotation Tool using Two-phase Parsing to Reduce Manual Effort for Building a Treebank
So-Young Park
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Yongjoo Cho
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Sunghoon Son
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Ui-Sung Song
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Hae-Chang Rim
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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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Semiring Parsing
Joshua Goodman
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Minimum Bayes-Risk Decoding for Statistical Machine Translation
Shankar Kumar
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William Byrne
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Improved Inference for Unlexicalized Parsing
Slav Petrov
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Dan Klein
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Shared Logistic Normal Distributions for Soft Parameter Tying in Unsupervised Grammar Induction
Shay Cohen
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Noah A. Smith
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Products of Random Latent Variable Grammars
Slav Petrov
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Unsupervised Syntactic Alignment with Inversion Transduction Grammars
Adam Pauls
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Dan Klein
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David Chiang
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Kevin Knight
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Variational Inference for Adaptor Grammars
Shay B. Cohen
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David M. Blei
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Noah A. Smith
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Experiments with Spectral Learning of Latent-Variable PCFGs
Shay B. Cohen
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Karl Stratos
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Michael Collins
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Dean P. Foster
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Lyle Ungar
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Approximate PCFG Parsing Using Tensor Decomposition
Shay B. Cohen
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Giorgio Satta
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Michael Collins
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Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks
Wenduan Xu
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Michael Auli
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Stephen Clark
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Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses
Katherine Keith
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Su Lin Blodgett
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Brendan O’Connor
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Minimum Error Rate Training in Statistical Machine Translation
Franz Josef Och
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Parsing the WSJ Using CCG and Log-Linear Models
Stephen Clark
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James R. Curran
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Probabilistic CFG with Latent Annotations
Takuya Matsuzaki
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Yusuke Miyao
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Jun’ichi Tsujii
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Reformatting Web Documents via Header Trees
Minoru Yoshida
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Hiroshi Nakagawa
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Learning Accurate, Compact, and Interpretable Tree Annotation
Slav Petrov
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Leon Barrett
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Romain Thibaux
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Dan Klein
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Minimum Risk Annealing for Training Log-Linear Models
David A. Smith
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Jason Eisner
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Transforming Projective Bilexical Dependency Grammars into efficiently-parsable CFGs with Unfold-Fold
Mark Johnson
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Pipeline Iteration
Kristy Hollingshead
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Brian Roark
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Efficient Multi-Pass Decoding for Synchronous Context Free Grammars
Hao Zhang
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Daniel Gildea
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Fast Consensus Decoding over Translation Forests
John DeNero
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David Chiang
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Kevin Knight
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Asynchronous Binarization for Synchronous Grammars
John DeNero
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Adam Pauls
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Dan Klein
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Simple, Accurate Parsing with an All-Fragments Grammar
Mohit Bansal
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Dan Klein
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Discriminative Modeling of Extraction Sets for Machine Translation
John DeNero
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Dan Klein
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A Discriminative Model for Joint Morphological Disambiguation and Dependency Parsing
John Lee
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Jason Naradowsky
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David A. Smith
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The Surprising Variance in Shortest-Derivation Parsing
Mohit Bansal
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Dan Klein
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Spectral Learning of Latent-Variable PCFGs
Shay B. Cohen
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Karl Stratos
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Michael Collins
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Dean P. Foster
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Lyle Ungar
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Sparser, Better, Faster GPU Parsing
David Hall
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Taylor Berg-Kirkpatrick
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Dan Klein
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Structured Learning for Taxonomy Induction with Belief Propagation
Mohit Bansal
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David Burkett
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Gerard de Melo
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Dan Klein
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Decoder Integration and Expected BLEU Training for Recurrent Neural Network Language Models
Michael Auli
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Jianfeng Gao
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Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
Daniel Fried
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Dan Klein
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Incremental Tree Substitution Grammar for Parsing and Sentence Prediction
Federico Sangati
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Frank Keller
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A psychologically plausible and computationally effective approach to learning syntax
Stephen Watkinson
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Suresh Manandhar
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Conditional Structure versus Conditional Estimation in NLP Models
Dan Klein
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Christopher D. Manning
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Loss Minimization in Parse Reranking
Ivan Titov
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James Henderson
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Parsing German with Latent Variable Grammars
Slav Petrov
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Dan Klein
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Latent-Variable PCFGs: Background and Applications
Shay Cohen
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Efficient Algorithms for Parsing the DOP Model
Joshua Goodman
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Edge-Based Best-First Chart Parsing
Eugene Charniak
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Sharon Goldwater
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Mark Johnson
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No URLs Found
Field Of Study
Language
English
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