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An Empirical Study of Semi-supervised Structured Conditional Models for Dependency Parsing
Jun Suzuki
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Hideki Isozaki
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Xavier Carreras
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Michael Collins
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Paper Details:
Month: August
Year: 2009
Location: Singapore
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Improving Graph-based Dependency Parsing with Decision History
Wenliang Chen
|
Jun’ichi Kazama
|
Yoshimasa Tsuruoka
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Kentaro Torisawa
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Automatic Feature Selection for Agenda-Based Dependency Parsing
Miguel Ballesteros
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Bernd Bohnet
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Feature Embedding for Dependency Parsing
Wenliang Chen
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Yue Zhang
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Min Zhang
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Uptraining for Accurate Deterministic Question Parsing
Slav Petrov
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Pi-Chuan Chang
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Michael Ringgaard
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Hiyan Alshawi
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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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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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Semi-Supervised Feature Transformation for Dependency Parsing
Wenliang Chen
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Min Zhang
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Yue Zhang
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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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Generalizing a Strongly Lexicalized Parser using Unlabeled Data
Tejaswini Deoskar
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Christos Christodoulopoulos
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Alexandra Birch
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Mark Steedman
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Learning Representations for Weakly Supervised Natural Language Processing Tasks
Fei Huang
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Arun Ahuja
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Doug Downey
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Yi Yang
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Yuhong Guo
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Alexander Yates
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Transition-based Spinal Parsing
Miguel Ballesteros
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Xavier Carreras
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Automatic Domain Adaptation for Parsing
David McClosky
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Eugene Charniak
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Mark Johnson
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From Baby Steps to Leapfrog: How “Less is More” in Unsupervised Dependency Parsing
Valentin I. Spitkovsky
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Hiyan Alshawi
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Daniel Jurafsky
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Word Representations: A Simple and General Method for Semi-Supervised Learning
Joseph Turian
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Lev-Arie Ratinov
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Yoshua Bengio
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Semi-supervised condensed nearest neighbor for part-of-speech tagging
Anders Søgaard
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Learning Condensed Feature Representations from Large Unsupervised Data Sets for Supervised Learning
Jun Suzuki
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Hideki Isozaki
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Masaaki Nagata
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Improving Dependency Parsing with Semantic Classes
Eneko Agirre
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Kepa Bengoetxea
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Koldo Gojenola
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Joakim Nivre
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Utilizing Dependency Language Models for Graph-based Dependency Parsing Models
Wenliang Chen
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Min Zhang
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Haizhou Li
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Semi-supervised Dependency Parsing using Lexical Affinities
Seyed Abolghasem Mirroshandel
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Alexis Nasr
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Joseph Le Roux
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Universal Conceptual Cognitive Annotation (UCCA)
Omri Abend
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Ari Rappoport
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Transition-based Dependency Parsing with Selectional Branching
Jinho D. Choi
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Andrew McCallum
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Cut the noise: Mutually reinforcing reordering and alignments for improved machine translation
Karthik Visweswariah
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Mitesh M. Khapra
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Ananthakrishnan Ramanathan
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Ambiguity-aware Ensemble Training for Semi-supervised Dependency Parsing
Zhenghua Li
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Min Zhang
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Wenliang Chen
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On WordNet Semantic Classes and Dependency Parsing
Kepa Bengoetxea
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Eneko Agirre
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Joakim Nivre
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Yue Zhang
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Koldo Gojenola
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Structured Training for Neural Network Transition-Based Parsing
David Weiss
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Chris Alberti
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Michael Collins
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Slav Petrov
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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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Branch and Bound Algorithm for Dependency Parsing with Non-local Features
Xian Qian
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Yang Liu
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Generative Constituent Parsing and Discriminative Dependency Reranking: Experiments on English and French
Joseph Le Roux
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Benoît Favre
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Alexis Nasr
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Seyed Abolghasem Mirroshandel
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The AI-KU System at the SPMRL 2013 Shared Task : Unsupervised Features for Dependency Parsing
Volkan Cirik
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Husnu Sensoy
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Chinese-to-Japanese Patent Machine Translation based on Syntactic Pre-ordering forWAT 2015
Katsuhito Sudoh
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Masaaki Nagata
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Chinese-to-Japanese Patent Machine Translation based on Syntactic Pre-ordering for WAT 2016
Katsuhito Sudoh
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Masaaki Nagata
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No URLs Found
Field Of Study
Approach
Generative Model
Semi-supervised Learning
Language
English
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