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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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Paper Details:
Month: July
Year: 2012
Location: Jeju Island, Korea
Venue:
ACL |
Citations
URL
Two Local Models for Neural Constituent Parsing
Zhiyang Teng
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Yue Zhang
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Towards a Language for Natural Language Treebank Transductions
Carlos A. Prolo
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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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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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Syntactic Parse Fusion
Do Kook Choe
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David McClosky
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Eugene Charniak
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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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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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Parsing as Language Modeling
Do Kook Choe
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Eugene Charniak
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Effective Inference for Generative Neural Parsing
Mitchell Stern
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Daniel Fried
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Dan Klein
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Evaluating a Deterministic Shift-Reduce Neural Parser for Constituent Parsing
Hao Zhou
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Yue Zhang
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Shujian Huang
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Xin-Yu Dai
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Jiajun Chen
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Extracting the Native Language Signal for Second Language Acquisition
Ben Swanson
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Eugene Charniak
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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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Recurrent Neural Network Grammars
Chris Dyer
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Adhiguna Kuncoro
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Miguel Ballesteros
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Noah A. Smith
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Nonparametric Bayesian Inference and Efficient Parsing for Tree-adjoining Grammars
Elif Yamangil
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Stuart M. Shieber
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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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Neural CRF Parsing
Greg Durrett
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Dan Klein
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A Generative Parser with a Discriminative Recognition Algorithm
Jianpeng Cheng
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Adam Lopez
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Mirella Lapata
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Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Yikang Shen
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Zhouhan Lin
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Athul Paul Jacob
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Alessandro Sordoni
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Aaron Courville
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Yoshua Bengio
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An Empirical Study of Building a Strong Baseline for Constituency Parsing
Jun Suzuki
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Sho Takase
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Hidetaka Kamigaito
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Makoto Morishita
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Masaaki Nagata
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Online Adaptor Grammars with Hybrid Inference
Ke Zhai
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Jordan Boyd-Graber
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Shay B. Cohen
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Shift-Reduce Constituent Parsing with Neural Lookahead Features
Jiangming Liu
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Yue Zhang
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In-Order Transition-based Constituent Parsing
Jiangming Liu
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Yue Zhang
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Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages
Djamé Seddah
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Reut Tsarfaty
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Sandra Kübler
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Marie Candito
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Jinho D. Choi
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Richárd Farkas
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Jennifer Foster
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Iakes Goenaga
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Koldo Gojenola Galletebeitia
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Yoav Goldberg
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Spence Green
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Nizar Habash
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Marco Kuhlmann
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Wolfgang Maier
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Joakim Nivre
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Adam Przepiórkowski
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Ryan Roth
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Wolfgang Seeker
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Yannick Versley
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Veronika Vincze
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Marcin Woliński
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Alina Wróblewska
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Eric Villemonte de la Clergerie
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Encoder-Decoder Shift-Reduce Syntactic Parsing
Jiangming Liu
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Yue Zhang
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http://nlp.cs.nyu.edu/evalb/
Field Of Study
Linguistic Trends
Syntax
Morphology
Task
Syntactic Parsing
Machine Translation
Word Segmentation
Approach
Bayesian Model
Generative Model
Language
English
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