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Dynamic Programming for Linear-Time Incremental Parsing
Liang Huang
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Kenji Sagae
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Paper Details:
Month: July
Year: 2010
Location: Uppsala, Sweden
Venue:
ACL |
Citations
URL
An LR-inspired generalized lexicalized phrase structure parser
Benoit Crabbé
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Automatic Feature Selection for Agenda-Based Dependency Parsing
Miguel Ballesteros
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Bernd Bohnet
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A Structured Language Model for Incremental Tree-to-String Translation
Heng Yu
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Haitao Mi
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Liang Huang
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Qun Liu
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Left-corner Transitions on Dependency Parsing
Hiroshi Noji
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Yusuke Miyao
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Incremental Natural Language Processing: Challenges, Strategies, and Evaluation
Arne Köhn
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Dual Decomposition with Many Overlapping Components
André Martins
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Noah Smith
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Mário Figueiredo
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Pedro Aguiar
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Joint Models for Chinese POS Tagging and Dependency Parsing
Zhenghua Li
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Min Zhang
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Wanxiang Che
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Ting Liu
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Wenliang Chen
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Haizhou Li
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Exact Inference for Generative Probabilistic Non-Projective Dependency Parsing
Shay B. Cohen
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Carlos Gómez-Rodríguez
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Giorgio Satta
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A Fast, Accurate, Non-Projective, Semantically-Enriched Parser
Stephen Tratz
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Eduard Hovy
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Third-order Variational Reranking on Packed-Shared Dependency Forests
Katsuhiko Hayashi
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Taro Watanabe
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Masayuki Asahara
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Yuji Matsumoto
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Improving Transition-Based Dependency Parsing with Buffer Transitions
Daniel Fernández-González
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Carlos Gómez-Rodríguez
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Generalized Higher-Order Dependency Parsing with Cube Pruning
Hao Zhang
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Ryan McDonald
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A Transition-Based System for Joint Part-of-Speech Tagging and Labeled Non-Projective Dependency Parsing
Bernd Bohnet
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Joakim Nivre
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Optimal Incremental Parsing via Best-First Dynamic Programming
Kai Zhao
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James Cross
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Liang Huang
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Shift-Reduce Word Reordering for Machine Translation
Katsuhiko Hayashi
|
Katsuhito Sudoh
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Hajime Tsukada
|
Jun Suzuki
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Masaaki Nagata
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The Inside-Outside Recursive Neural Network model for Dependency Parsing
Phong Le
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Willem Zuidema
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A Polynomial-Time Dynamic Oracle for Non-Projective Dependency Parsing
Carlos Gómez-Rodríguez
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Francesco Sartorio
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Giorgio Satta
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Greed is Good if Randomized: New Inference for Dependency Parsing
Yuan Zhang
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Tao Lei
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Regina Barzilay
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Tommi Jaakkola
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Search-Aware Tuning for Machine Translation
Lemao Liu
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Liang Huang
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The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization
Phong Le
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Willem Zuidema
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Transition-based Dependency Parsing Using Two Heterogeneous Gated Recursive Neural Networks
Xinchi Chen
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Yaqian Zhou
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Chenxi Zhu
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Xipeng Qiu
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Xuanjing Huang
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Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
James Cross
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Liang Huang
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Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Tianze Shi
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Liang Huang
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Lillian Lee
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Incremental Graph-based Neural Dependency Parsing
Xiaoqing Zheng
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Dependency Parsing with Undirected Graphs
Carlos Gómez-Rodríguez
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Daniel Fernández-González
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The Best of BothWorlds – A Graph-based Completion Model for Transition-based Parsers
Bernd Bohnet
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Jonas Kuhn
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Regularized Structured Perceptron: A Case Study on Chinese Word Segmentation, POS Tagging and Parsing
Kaixu Zhang
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Jinsong Su
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Changle Zhou
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Deterministic Parsing using PCFGs
Mark-Jan Nederhof
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Martin McCaffery
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Non-Monotonic Parsing of Fluent Umm I mean Disfluent Sentences
Mohammad Sadegh Rasooli
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Joel Tetreault
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Improving Dependency Parsers with Supertags
Hiroki Ouchi
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Kevin Duh
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Yuji Matsumoto
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Dependency Parsing as Head Selection
Xingxing Zhang
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Jianpeng Cheng
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Mirella Lapata
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Syntactic Processing Using the Generalized Perceptron and Beam Search
Yue Zhang
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Stephen Clark
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Analyzing and Integrating Dependency Parsers
Ryan McDonald
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Joakim Nivre
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Transition-based Spinal Parsing
Miguel Ballesteros
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Xavier Carreras
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Combining Global Models for Parsing Universal Dependencies
Tianze Shi
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Felix G. Wu
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Xilun Chen
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Yao Cheng
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Structured Perceptron with Inexact Search
Liang Huang
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Suphan Fayong
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Yang Guo
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Vine Pruning for Efficient Multi-Pass Dependency Parsing
Alexander Rush
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Slav Petrov
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Minibatch and Parallelization for Online Large Margin Structured Learning
Kai Zhao
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Liang Huang
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Shift-Reduce Constituency Parsing with Dynamic Programming and POS Tag Lattice
Haitao Mi
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Liang Huang
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Improving Coverage and Runtime Complexity for Exact Inference in Non-Projective Transition-Based Dependency Parsers
Tianze Shi
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Carlos Gómez-Rodríguez
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Lillian Lee
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Incremental Syntactic Language Models for Phrase-based Translation
Lane Schwartz
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Chris Callison-Burch
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William Schuler
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Stephen Wu
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Dynamic Programming Algorithms for Transition-Based Dependency Parsers
Marco Kuhlmann
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Carlos Gómez-Rodríguez
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Giorgio Satta
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Transition-based Dependency Parsing with Rich Non-local Features
Yue Zhang
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Joakim Nivre
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Joint Training of Dependency Parsing Filters through Latent Support Vector Machines
Colin Cherry
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Shane Bergsma
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Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining
Ariya Rastrow
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Mark Dredze
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Sanjeev Khudanpur
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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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Head-driven Transition-based Parsing with Top-down Prediction
Katsuhiko Hayashi
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Taro Watanabe
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Masayuki Asahara
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Yuji Matsumoto
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Attacking Parsing Bottlenecks with Unlabeled Data and Relevant Factorizations
Emily Pitler
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Incremental Joint Approach to Word Segmentation, POS Tagging, and Dependency Parsing in Chinese
Jun Hatori
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Takuya Matsuzaki
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Yusuke Miyao
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Jun’ichi Tsujii
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A Shift-Reduce Parsing Algorithm for Phrase-based String-to-Dependency Translation
Yang Liu
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Fast and Accurate Shift-Reduce Constituent Parsing
Muhua Zhu
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Yue Zhang
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Wenliang Chen
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Min Zhang
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Jingbo Zhu
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Transition-based Dependency Parsing with Selectional Branching
Jinho D. Choi
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Andrew McCallum
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Joint Inference for Heterogeneous Dependency Parsing
Guangyou Zhou
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Jun Zhao
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Easy-First POS Tagging and Dependency Parsing with Beam Search
Ji Ma
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Jingbo Zhu
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Tong Xiao
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Nan Yang
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Turning on the Turbo: Fast Third-Order Non-Projective Turbo Parsers
André Martins
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Miguel Almeida
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Noah A. Smith
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Efficient Implementation of Beam-Search Incremental Parsers
Yoav Goldberg
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Kai Zhao
|
Liang Huang
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Shift-Reduce CCG Parsing with a Dependency Model
Wenduan Xu
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Stephen Clark
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Yue Zhang
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Incremental Joint Extraction of Entity Mentions and Relations
Qi Li
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Heng Ji
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Character-Level Chinese Dependency Parsing
Meishan Zhang
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Yue Zhang
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Wanxiang Che
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Ting Liu
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Punctuation Processing for Projective Dependency Parsing
Ji Ma
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Yue Zhang
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Jingbo Zhu
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Syntactic Processing Using Global Discriminative Learning and Beam-Search Decoding
Yue Zhang
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Meishan Zhang
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Ting Liu
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A Re-ranking Model for Dependency Parser with Recursive Convolutional Neural Network
Chenxi Zhu
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Xipeng Qiu
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Xinchi Chen
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Xuanjing Huang
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Semantic Role Labeling Improves Incremental Parsing
Ioannis Konstas
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Frank Keller
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A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing
Hao Zhou
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Yue Zhang
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Shujian Huang
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Jiajun Chen
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Optimal Shift-Reduce Constituent Parsing with Structured Perceptron
Le Quang Thang
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Hiroshi Noji
|
Yusuke Miyao
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How to Train Dependency Parsers with Inexact Search for Joint Sentence Boundary Detection and Parsing of Entire Documents
Anders Björkelund
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Agnieszka Faleńska
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Wolfgang Seeker
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Jonas Kuhn
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Empty element recovery by spinal parser operations
Katsuhiko Hayashi
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Masaaki Nagata
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Global Transition-based Non-projective Dependency Parsing
Carlos Gómez-Rodríguez
|
Tianze Shi
|
Lillian Lee
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Linear-time Constituency Parsing with RNNs and Dynamic Programming
Juneki Hong
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Liang Huang
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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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Efficient Stacked Dependency Parsing by Forest Reranking
Katsuhiko Hayashi
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Shuhei Kondo
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Yuji Matsumoto
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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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Parsing entire discourses as very long strings: Capturing topic continuity in grounded language learning
Minh-Thang Luong
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Michael C. Frank
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Mark Johnson
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A Tabular Method for Dynamic Oracles in Transition-Based Parsing
Yoav Goldberg
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Francesco Sartorio
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Giorgio Satta
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Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States
Ashish Vaswani
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Kenji Sagae
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Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Eliyahu Kiperwasser
|
Yoav Goldberg
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SemEval-2012 Task 5: Chinese Semantic Dependency Parsing
Wanxiang Che
|
Meishan Zhang
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Yanqiu Shao
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Ting Liu
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ICT:A System Combination for Chinese Semantic Dependency Parsing
Hao Xiong
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Qun Liu
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Alpage: Transition-based Semantic Graph Parsing with Syntactic Features
Corentin Ribeyre
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Eric Villemonte de la Clergerie
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Djamé Seddah
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Learning with Lookahead: Can History-Based Models Rival Globally Optimized Models?
Yoshimasa Tsuruoka
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Yusuke Miyao
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Jun’ichi Kazama
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Transition-based Semantic Role Labeling Using Predicate Argument Clustering
Jinho D. Choi
|
Martha Palmer
|
A Non-Monotonic Arc-Eager Transition System for Dependency Parsing
Matthew Honnibal
|
Yoav Goldberg
|
Mark Johnson
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A Cross-Task Flexible Transition Model for Arabic Tokenization, Affix Detection, Affix Labeling, POS Tagging, and Dependency Parsing
Stephen Tratz
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Exploring beam-based shift-reduce dependency parsing with DyALog: Results from the SPMRL 2013 shared task
Éric de la Clergerie
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Experiments with Easy-first nonprojective constituent parsing
Yannick Versley
|
A Bayesian Model for Generative Transition-based Dependency Parsing
Jan Buys
|
Phil Blunsom
|
Transition-based dependency parsing as latent-variable constituent parsing
Mark-Jan Nederhof
|
Reducing Lexical Features in Parsing by Word Embeddings
Hiroya Komatsu
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Ran Tian
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Naoaki Okazaki
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Kentaro Inui
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No URLs Found
Field Of Study
Approach
Semi-supervised Learning
Language
Chinese
English
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