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