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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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Paper Details:
Month: June
Year: 2005
Location: Ann Arbor, Michigan
Venue:
ACL |
Citations
URL
Modeling Latent-Dynamic in Shallow Parsing: A Latent Conditional Model with Improved Inference
Xu Sun
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Louis-Philippe Morency
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Daisuke Okanohara
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Yoshimasa Tsuruoka
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Jun’ichi Tsujii
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Benchmarking of Statistical Dependency Parsers for French
Marie Candito
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Joakim Nivre
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Pascal Denis
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Enrique Henestroza Anguiano
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Learning the Taxonomy of Function Words for Parsing
Dongchen Li
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Xiantao Zhang
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Dingsheng Luo
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Xihong Wu
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Generic refinement of expressive grammar formalisms with an application to discontinuous constituent parsing
Kilian Gebhardt
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An Empirical Investigation of Error Types in Vietnamese Parsing
Quy Nguyen
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Yusuke Miyao
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Hiroshi Noji
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Nhung Nguyen
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Probabilistic Models of Nonprojective Dependency Trees
David A. Smith
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Noah A. Smith
|
Joint Morphological and Syntactic Disambiguation
Shay B. Cohen
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Noah A. Smith
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Parsimonious Data-Oriented Parsing
Willem Zuidema
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The Infinite PCFG Using Hierarchical Dirichlet Processes
Percy Liang
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Slav Petrov
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Michael Jordan
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Dan Klein
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Learning Structured Models for Phone Recognition
Slav Petrov
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Adam Pauls
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Dan Klein
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Dependency Parsing by Belief Propagation
David Smith
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Jason Eisner
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Sparse Multi-Scale Grammars for Discriminative Latent Variable Parsing
Slav Petrov
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Dan Klein
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Latent-Variable Modeling of String Transductions with Finite-State Methods
Markus Dreyer
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Jason Smith
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Jason Eisner
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Self-Training PCFG Grammars with Latent Annotations Across Languages
Zhongqiang Huang
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Mary Harper
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On the Role of Lexical Features in Sequence Labeling
Yoav Goldberg
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Michael Elhadad
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Refining Grammars for Parsing with Hierarchical Semantic Knowledge
Xiaojun Lin
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Yang Fan
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Meng Zhang
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Xihong Wu
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Huisheng Chi
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K-Best Combination of Syntactic Parsers
Hui Zhang
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Min Zhang
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Chew Lim Tan
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Haizhou Li
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Self-Training with Products of Latent Variable Grammars
Zhongqiang Huang
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Mary Harper
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Slav Petrov
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Soft Syntactic Constraints for Hierarchical Phrase-Based Translation Using Latent Syntactic Distributions
Zhongqiang Huang
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Martin Čmejrek
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Bowen Zhou
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Lessons Learned in Part-of-Speech Tagging of Conversational Speech
Vladimir Eidelman
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Zhongqiang Huang
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Mary Harper
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Accurate Parsing with Compact Tree-Substitution Grammars: Double-DOP
Federico Sangati
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Willem Zuidema
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Parse Correction with Specialized Models for Difficult Attachment Types
Enrique Henestroza Anguiano
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Marie Candito
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Training Factored PCFGs with Expectation Propagation
David Hall
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Dan Klein
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Learning to Map into a Universal POS Tagset
Yuan Zhang
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Roi Reichart
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Regina Barzilay
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Amir Globerson
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Combining PCFG-LA Models with Dual Decomposition: A Case Study with Function Labels and Binarization
Joseph Le Roux
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Antoine Rozenknop
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Jennifer Foster
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A Multi-Teraflop Constituency Parser using GPUs
John Canny
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David Hall
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Dan Klein
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Parsing low-resource languages using Gibbs sampling for PCFGs with latent annotations
Liang Sun
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Jason Mielens
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Jason Baldridge
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Latent-Variable Synchronous CFGs for Hierarchical Translation
Avneesh Saluja
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Chris Dyer
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Shay B. Cohen
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Reordering Grammar Induction
Miloš Stanojević
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Khalil Sima’an
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Conversation Trees: A Grammar Model for Topic Structure in Forums
Annie Louis
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Shay B. Cohen
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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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Sequential Labeling with Latent Variables: An Exact Inference Algorithm and its Efficient Approximation
Xu Sun
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Jun’ichi Tsujii
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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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K-best Iterative Viterbi Parsing
Katsuhiko Hayashi
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Masaaki Nagata
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Hidden-Variable Models for Discriminative Reranking
Terry Koo
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Michael Collins
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Word Segmentation, Unknown-word Resolution, and Morphological Agreement in a Hebrew Parsing System
Yoav Goldberg
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Michael Elhadad
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Improved Inference for Unlexicalized Parsing
Slav Petrov
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Dan Klein
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Preference Grammars: Softening Syntactic Constraints to Improve Statistical Machine Translation
Ashish Venugopal
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Andreas Zollmann
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Noah A. Smith
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Stephan Vogel
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Improving A Simple Bigram HMM Part-of-Speech Tagger by Latent Annotation and Self-Training
Zhongqiang Huang
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Vladimir Eidelman
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Mary Harper
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Products of Random Latent Variable Grammars
Slav Petrov
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Appropriately Handled Prosodic Breaks Help PCFG Parsing
Zhongqiang Huang
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Mary Harper
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Joint Parsing and Alignment with Weakly Synchronized Grammars
David Burkett
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John Blitzer
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Dan Klein
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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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Ckylark: A More Robust PCFG-LA Parser
Yusuke Oda
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Graham Neubig
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Sakriani Sakti
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Tomoki Toda
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Satoshi Nakamura
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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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Transforming Projective Bilexical Dependency Grammars into efficiently-parsable CFGs with Unfold-Fold
Mark Johnson
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Constituent Parsing with Incremental Sigmoid Belief Networks
Ivan Titov
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James Henderson
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Minimally Lexicalized Dependency Parsing
Daisuke Kawahara
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Kiyotaka Uchimoto
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Task-oriented Evaluation of Syntactic Parsers and Their Representations
Yusuke Miyao
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Rune Sætre
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Kenji Sagae
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Takuya Matsuzaki
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Jun’ichi Tsujii
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Simple Semi-supervised Dependency Parsing
Terry Koo
|
Xavier Carreras
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Michael Collins
|
Unlexicalised Hidden Variable Models of Split Dependency Grammars
Gabriele Antonio Musillo
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Paola Merlo
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Variational Decoding for Statistical Machine Translation
Zhifei Li
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Jason Eisner
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Sanjeev Khudanpur
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Simple, Accurate Parsing with an All-Fragments Grammar
Mohit Bansal
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Dan Klein
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Beam-Width Prediction for Efficient Context-Free Parsing
Nathan Bodenstab
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Aaron Dunlop
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Keith Hall
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Brian Roark
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Insertion Operator for Bayesian Tree Substitution Grammars
Hiroyuki Shindo
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Akinori Fujino
|
Masaaki Nagata
|
Spectral Learning of Latent-Variable PCFGs
Shay B. Cohen
|
Karl Stratos
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Michael Collins
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Dean P. Foster
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Lyle Ungar
|
Capturing Paradigmatic and Syntagmatic Lexical Relations: Towards Accurate Chinese Part-of-Speech Tagging
Weiwei Sun
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Hans Uszkoreit
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Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing
Hiroyuki Shindo
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Yusuke Miyao
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Akinori Fujino
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Masaaki Nagata
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Parsing with Compositional Vector Grammars
Richard Socher
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John Bauer
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Christopher D. Manning
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Andrew Y. Ng
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A Lattice-based Framework for Joint Chinese Word Segmentation, POS Tagging and Parsing
Zhiguo Wang
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Chengqing Zong
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Nianwen Xue
|
Sparser, Better, Faster GPU Parsing
David Hall
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Taylor Berg-Kirkpatrick
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Dan Klein
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Less Grammar, More Features
David Hall
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Greg Durrett
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Dan Klein
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A Provably Correct Learning Algorithm for Latent-Variable PCFGs
Shay B. Cohen
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Michael Collins
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Learning Grammar with Explicit Annotations for Subordinating Conjunctions
Dongchen Li
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Xiantao Zhang
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Xihong Wu
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Transition-based Neural Constituent Parsing
Taro Watanabe
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Eiichiro Sumita
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Parsing as Reduction
Daniel Fernández-González
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André F. T. Martins
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Optimizing Spectral Learning for Parsing
Shashi Narayan
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Shay B. Cohen
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Gaussian Mixture Latent Vector Grammars
Yanpeng Zhao
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Liwen Zhang
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Kewei Tu
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Data-driven, PCFG-based and Pseudo-PCFG-based Models for Chinese Dependency Parsing
Weiwei Sun
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Xiaojun Wan
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Learning to Prune: Exploring the Frontier of Fast and Accurate Parsing
Tim Vieira
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Jason Eisner
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Non-Deterministic Segmentation for Chinese Lattice Parsing
Hai Hu
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Daniel Dakota
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Sandra Kübler
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Coarse Lexical Frame Acquisition at the Syntax–Semantics Interface Using a Latent-Variable PCFG Model
Laura Kallmeyer
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Behrang QasemiZadeh
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Jackie Chi Kit Cheung
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Head-Driven PCFGs with Latent-Head Statistics
Detlef Prescher
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Learning Phrasal Categories
William P. Headden III
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Eugene Charniak
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Mark Johnson
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Better Informed Training of Latent Syntactic Features
Markus Dreyer
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Jason Eisner
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Porting Statistical Parsers with Data-Defined Kernels
Ivan Titov
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James Henderson
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Non-Local Modeling with a Mixture of PCFGs
Slav Petrov
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Leon Barrett
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Dan Klein
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Nbest Dependency Parsing with linguistically rich models
Xiaodong Shi
|
A Latent Variable Model for Generative Dependency Parsing
Ivan Titov
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James Henderson
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Three-Dimensional Parametrization for Parsing Morphologically Rich Languages
Reut Tsarfaty
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Khalil Sima’an
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Parsing German with Latent Variable Grammars
Slav Petrov
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Dan Klein
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On Statistical Parsing of French with Supervised and Semi-Supervised Strategies
Marie Candito
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Benoit Crabbé
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Djamé Seddah
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Factors Affecting the Accuracy of Korean Parsing
Tagyoung Chung
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Matt Post
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Daniel Gildea
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Handling Unknown Words in Statistical Latent-Variable Parsing Models for Arabic, English and French
Mohammed Attia
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Jennifer Foster
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Deirdre Hogan
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Joseph Le Roux
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Lamia Tounsi
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Josef van Genabith
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Parsing Word Clusters
Marie Candito
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Djamé Seddah
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Structured Composition of Semantic Vectors
Stephen Wu
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William Schuler
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Decreasing Lexical Data Sparsity in Statistical Syntactic Parsing - Experiments with Named Entities
Deirdre Hogan
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Jennifer Foster
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Josef van Genabith
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Toward Tree Substitution Grammars with Latent Annotations
Francis Ferraro
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Benjamin Van Durme
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Matt Post
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Statistical Parsing of Spanish and Data Driven Lemmatization
Joseph Le Roux
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Benoît Sagot
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Djamé Seddah
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Spectral Learning of Refinement HMMs
Karl Stratos
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Alexander Rush
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Shay B. Cohen
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Michael Collins
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Collapsed Variational Bayesian Inference for PCFGs
Pengyu Wang
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Phil Blunsom
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Count-based State Merging for Probabilistic Regular Tree Grammars
Toni Dietze
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Mark-Jan Nederhof
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Examining the Relationship between Preordering and Word Order Freedom in Machine Translation
Joachim Daiber
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Miloš Stanojević
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Wilker Aziz
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Khalil Sima’an
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Equivalences between Ranked and Unranked Weighted Tree Automata via Binarization
Toni Dietze
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Transition-based dependency parsing as latent-variable constituent parsing
Mark-Jan Nederhof
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Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing
Shashi Narayan
|
Siva Reddy
|
Shay B. Cohen
|
Latent-Variable PCFGs: Background and Applications
Shay Cohen
|
No URLs Found
Field Of Study
Approach
Generative Model
Language
English
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