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Incremental Parsing with Minimal Features Using Bi-Directional LSTM
James Cross
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Liang Huang
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
Two Local Models for Neural Constituent Parsing
Zhiyang Teng
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Yue Zhang
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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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Neural Discontinuous Constituency Parsing
Miloš Stanojević
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Raquel G. Alhama
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Stack-based Multi-layer Attention for Transition-based Dependency Parsing
Zhirui Zhang
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Shujie Liu
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Mu Li
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Ming Zhou
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Enhong Chen
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Valency-Augmented Dependency Parsing
Tianze Shi
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Lillian Lee
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Dynamic Oracles for Top-Down and In-Order Shift-Reduce Constituent Parsing
Daniel Fernández-González
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Carlos Gómez-Rodríguez
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Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data
Wenhui Wang
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Baobao Chang
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Mairgup Mansur
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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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Incremental Discontinuous Phrase Structure Parsing with the GAP Transition
Maximin Coavoux
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Benoît Crabbé
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Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks
Maximin Coavoux
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Benoît Crabbé
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A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
Diego Marcheggiani
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Anton Frolov
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Ivan Titov
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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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The HIT-SCIR System for End-to-End Parsing of Universal Dependencies
Wanxiang Che
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Jiang Guo
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Yuxuan Wang
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Bo Zheng
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Huaipeng Zhao
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Yang Liu
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Dechuan Teng
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Ting Liu
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Scene Graph Parsing as Dependency Parsing
Yu-Siang Wang
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Chenxi Liu
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Xiaohui Zeng
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Alan Yuille
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Neural Syntactic Generative Models with Exact Marginalization
Jan Buys
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Phil Blunsom
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What’s Going On in Neural Constituency Parsers? An Analysis
David Gaddy
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Mitchell Stern
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Dan Klein
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Colorless Green Recurrent Networks Dream Hierarchically
Kristina Gulordava
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Piotr Bojanowski
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Edouard Grave
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Tal Linzen
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Marco Baroni
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Event Nugget Detection with Forward-Backward Recurrent Neural Networks
Reza Ghaeini
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Xiaoli Fern
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Liang Huang
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Prasad Tadepalli
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Robust Incremental Neural Semantic Graph Parsing
Jan Buys
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Phil Blunsom
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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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Global Transition-based Non-projective Dependency Parsing
Carlos Gómez-Rodríguez
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Tianze Shi
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Lillian Lee
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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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Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Eliyahu Kiperwasser
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Yoav Goldberg
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Surface Statistics of an Unknown Language Indicate How to Parse It
Dingquan Wang
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Jason Eisner
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Arc-Standard Spinal Parsing with Stack-LSTMs
Miguel Ballesteros
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Xavier Carreras
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A neural parser as a direct classifier for head-final languages
Hiroshi Kanayama
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Masayasu Muraoka
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Ryosuke Kohita
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No URLs Found
Field Of Study
Linguistic Trends
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Task
Tagging
Event Detection
Language
Chinese
English
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