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Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Eliyahu Kiperwasser
|
Yoav Goldberg
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Paper Details:
Year: 2016
Venue:
TACL |
Citations
URL
Sprucing up the trees – Error detection in treebanks
Ines Rehbein
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Josef Ruppenhofer
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Two Local Models for Neural Constituent Parsing
Zhiyang Teng
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Yue Zhang
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Dynamic Feature Selection with Attention in Incremental Parsing
Ryosuke Kohita
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Hiroshi Noji
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Yuji Matsumoto
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Incremental Natural Language Processing: Challenges, Strategies, and Evaluation
Arne Köhn
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Butterfly Effects in Frame Semantic Parsing: impact of data processing on model ranking
Alexandre Kabbach
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Corentin Ribeyre
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Aurélie Herbelot
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Seq2seq Dependency Parsing
Zuchao Li
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Jiaxun Cai
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Shexia He
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Hai Zhao
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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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Neural Shift-Reduce CCG Semantic Parsing
Dipendra Kumar Misra
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Yoav Artzi
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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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Universal Semantic Parsing
Siva Reddy
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Oscar Täckström
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Slav Petrov
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Mark Steedman
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Mirella Lapata
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Learning to select data for transfer learning with Bayesian Optimization
Sebastian Ruder
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Barbara Plank
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A Sub-Character Architecture for Korean Language Processing
Karl Stratos
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Learning Contextually Informed Representations for Linear-Time Discourse Parsing
Yang Liu
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Mirella Lapata
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Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
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Ivan Titov
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Efficient Discontinuous Phrase-Structure Parsing via the Generalized Maximum Spanning Arborescence
Caio Corro
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Joseph Le Roux
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Mathieu Lacroix
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Incremental Graph-based Neural Dependency Parsing
Xiaoqing Zheng
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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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End-to-End Neural Relation Extraction with Global Optimization
Meishan Zhang
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Yue Zhang
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Guohong Fu
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Towards Dynamic Computation Graphs via Sparse Latent Structure
Vlad Niculae
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André F. T. Martins
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Claire Cardie
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Valency-Augmented Dependency Parsing
Tianze Shi
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Lillian Lee
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Constituent Parsing as Sequence Labeling
Carlos Gómez-Rodríguez
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David Vilares
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A Unified Syntax-aware Framework for Semantic Role Labeling
Zuchao Li
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Shexia He
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Jiaxun Cai
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Zhuosheng Zhang
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Hai Zhao
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Gongshen Liu
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Linlin Li
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Luo Si
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Semantics as a Foreign Language
Gabriel Stanovsky
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Ido Dagan
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What do character-level models learn about morphology? The case of dependency parsing
Clara Vania
|
Andreas Grivas
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Adam Lopez
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Neural Transition Based Parsing of Web Queries: An Entity Based Approach
Rivka Malca
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Roi Reichart
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An Investigation of the Interactions Between Pre-Trained Word Embeddings, Character Models and POS Tags in Dependency Parsing
Aaron Smith
|
Miryam de Lhoneux
|
Sara Stymne
|
Joakim Nivre
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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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Modeling Input Uncertainty in Neural Network Dependency Parsing
Rob van der Goot
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Gertjan van Noord
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Parameter sharing between dependency parsers for related languages
Miryam de Lhoneux
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Johannes Bjerva
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Isabelle Augenstein
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Anders Søgaard
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Linguistically-Informed Self-Attention for Semantic Role Labeling
Emma Strubell
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Patrick Verga
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Daniel Andor
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David Weiss
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Andrew McCallum
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When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso
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Barbara Plank
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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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Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing
Minh Lê
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Antske Fokkens
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What Do Recurrent Neural Network Grammars Learn About Syntax?
Adhiguna Kuncoro
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Miguel Ballesteros
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Lingpeng Kong
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Chris Dyer
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Graham Neubig
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Noah A. Smith
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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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Don’t Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers
Lauriane Aufrant
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Guillaume Wisniewski
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François Yvon
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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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Improving a Strong Neural Parser with Conjunction-Specific Features
Jessica Ficler
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Yoav Goldberg
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Neural Probabilistic Model for Non-projective MST Parsing
Xuezhe Ma
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Eduard Hovy
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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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Stanford’s Graph-based Neural Dependency Parser at the CoNLL 2017 Shared Task
Timothy Dozat
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Peng Qi
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Christopher D. Manning
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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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Adversarial Training for Cross-Domain Universal Dependency Parsing
Motoki Sato
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Hitoshi Manabe
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Hiroshi Noji
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Yuji Matsumoto
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UParse: the Edinburgh system for the CoNLL 2017 UD shared task
Clara Vania
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Xingxing Zhang
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Adam Lopez
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A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
Dat Quoc Nguyen
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Mark Dras
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Mark Johnson
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From Raw Text to Universal Dependencies - Look, No Tags!
Miryam de Lhoneux
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Yan Shao
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Ali Basirat
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Eliyahu Kiperwasser
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Sara Stymne
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Yoav Goldberg
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Joakim Nivre
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A Fast and Lightweight System for Multilingual Dependency Parsing
Tao Ji
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Yuanbin Wu
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Man Lan
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Neural Maximum Subgraph Parsing for Cross-Domain Semantic Dependency Analysis
Yufei Chen
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Sheng Huang
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Fang Wang
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Junjie Cao
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Weiwei Sun
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Xiaojun Wan
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Joint Learning of POS and Dependencies for Multilingual Universal Dependency Parsing
Zuchao Li
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Shexia He
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Zhuosheng Zhang
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Hai Zhao
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An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing
Dat Quoc Nguyen
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Karin Verspoor
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Universal Dependency Parsing with a General Transition-Based DAG Parser
Daniel Hershcovich
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Omri Abend
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Ari Rappoport
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ELMoLex: Connecting ELMo and Lexicon Features for Dependency Parsing
Ganesh Jawahar
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Benjamin Muller
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Amal Fethi
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Louis Martin
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Éric Villemonte de la Clergerie
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Benoît Sagot
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Djamé Seddah
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AntNLP at CoNLL 2018 Shared Task: A Graph-Based Parser for Universal Dependency Parsing
Tao Ji
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Yufang Liu
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Yijun Wang
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Yuanbin Wu
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Man Lan
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Building an Ellipsis-aware Chinese Dependency Treebank for Web Text
Xuancheng Ren
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Xu Sun
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Ji Wen
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Bingzhen Wei
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Weidong Zhan
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Zhiyuan Zhang
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PoSTWITA-UD: an Italian Twitter Treebank in Universal Dependencies
Manuela Sanguinetti
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Cristina Bosco
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Alberto Lavelli
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Alessandro Mazzei
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Oronzo Antonelli
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Fabio Tamburini
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Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian
KyungTae Lim
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Niko Partanen
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Thierry Poibeau
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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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Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation Extraction
Patrick Verga
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Emma Strubell
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Andrew McCallum
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Monte Carlo Syntax Marginals for Exploring and Using Dependency Parses
Katherine Keith
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Su Lin Blodgett
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Brendan O’Connor
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Neural Syntactic Generative Models with Exact Marginalization
Jan Buys
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Phil Blunsom
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Parsing Tweets into Universal Dependencies
Yijia Liu
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Yi Zhu
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Wanxiang Che
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Bing Qin
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Nathan Schneider
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Noah A. Smith
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Universal Dependency Parsing for Hindi-English Code-Switching
Irshad Bhat
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Riyaz A. Bhat
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Manish Shrivastava
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Dipti Sharma
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End-to-End Graph-Based TAG Parsing with Neural Networks
Jungo Kasai
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Robert Frank
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Pauli Xu
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William Merrill
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Owen Rambow
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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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Pivot Based Language Modeling for Improved Neural Domain Adaptation
Yftah Ziser
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Roi Reichart
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A Dynamic Oracle for Linear-Time 2-Planar Dependency Parsing
Daniel Fernández-González
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Carlos Gómez-Rodríguez
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Non-Projective Dependency Parsing with Non-Local Transitions
Daniel Fernández-González
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Carlos Gómez-Rodríguez
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VnCoreNLP: A Vietnamese Natural Language Processing Toolkit
Thanh Vu
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Dat Quoc Nguyen
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Dai Quoc Nguyen
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Mark Dras
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Mark Johnson
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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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Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger
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Johannes Daxenberger
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Iryna Gurevych
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Neural Joint Model for Transition-based Chinese Syntactic Analysis
Shuhei Kurita
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Daisuke Kawahara
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Sadao Kurohashi
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Robust Incremental Neural Semantic Graph Parsing
Jan Buys
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Phil Blunsom
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Universal Dependencies Parsing for Colloquial Singaporean English
Hongmin Wang
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Yue Zhang
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GuangYong Leonard Chan
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Jie Yang
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Hai Leong Chieu
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Deep Multitask Learning for Semantic Dependency Parsing
Hao Peng
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Sam Thomson
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Noah A. Smith
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Arc-swift: A Novel Transition System for Dependency Parsing
Peng Qi
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Christopher D. Manning
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Multitask Parsing Across Semantic Representations
Daniel Hershcovich
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Omri Abend
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Ari Rappoport
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Accurate SHRG-Based Semantic Parsing
Yufei Chen
|
Weiwei Sun
|
Xiaojun Wan
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Strong Baselines for Neural Semi-Supervised Learning under Domain Shift
Sebastian Ruder
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Barbara Plank
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Stack-Pointer Networks for Dependency Parsing
Xuezhe Ma
|
Zecong Hu
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Jingzhou Liu
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Nanyun Peng
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Graham Neubig
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Eduard Hovy
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AMR dependency parsing with a typed semantic algebra
Jonas Groschwitz
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Matthias Lindemann
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Meaghan Fowlie
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Mark Johnson
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Alexander Koller
|
Backpropagating through Structured Argmax using a SPIGOT
Hao Peng
|
Sam Thomson
|
Noah A. Smith
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Global Transition-based Non-projective Dependency Parsing
Carlos Gómez-Rodríguez
|
Tianze Shi
|
Lillian Lee
|
Pre- and In-Parsing Models for Neural Empty Category Detection
Yufei Chen
|
Yuanyuan Zhao
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Weiwei Sun
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Xiaojun Wan
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Policy Gradient as a Proxy for Dynamic Oracles in Constituency Parsing
Daniel Fried
|
Dan Klein
|
Parser Training with Heterogeneous Treebanks
Sara Stymne
|
Miryam de Lhoneux
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Aaron Smith
|
Joakim Nivre
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Generalized chart constraints for efficient PCFG and TAG parsing
Stefan Grünewald
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Sophie Henning
|
Alexander Koller
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Assessing the Ability of LSTMs to Learn Syntax-Sensitive Dependencies
Tal Linzen
|
Emmanuel Dupoux
|
Yoav Goldberg
|
In-Order Transition-based Constituent Parsing
Jiangming Liu
|
Yue Zhang
|
Scheduled Multi-Task Learning: From Syntax to Translation
Eliyahu Kiperwasser
|
Miguel Ballesteros
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Surface Statistics of an Unknown Language Indicate How to Parse It
Dingquan Wang
|
Jason Eisner
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
|
James Glass
|
An empirical study for Vietnamese dependency parsing
Dat Quoc Nguyen
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Mark Dras
|
Mark Johnson
|
Challenges of Computational Processing of Code-Switching
Özlem Çetinoğlu
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Sarah Schulz
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Ngoc Thang Vu
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Universal Dependencies for Greek
Prokopis Prokopidis
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Haris Papageorgiou
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Multi-task Domain Adaptation for Sequence Tagging
Nanyun Peng
|
Mark Dredze
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Reconstruction of Word Embeddings from Sub-Word Parameters
Karl Stratos
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Dependency Parsing with Dilated Iterated Graph CNNs
Emma Strubell
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Andrew McCallum
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Entity Identification as Multitasking
Karl Stratos
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A BiLSTM-based System for Cross-lingual Pronoun Prediction
Sara Stymne
|
Sharid Loáiciga
|
Fabienne Cap
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Assessing State-of-the-Art Sentiment Models on State-of-the-Art Sentiment Datasets
Jeremy Barnes
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Roman Klinger
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Sabine Schulte im Walde
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Annotation, Modelling and Analysis of Fine-Grained Emotions on a Stance and Sentiment Detection Corpus
Hendrik Schuff
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Jeremy Barnes
|
Julian Mohme
|
Sebastian Padó
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Roman Klinger
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Leveraging Newswire Treebanks for Parsing Conversational Data with Argument Scrambling
Riyaz A. Bhat
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Irshad Bhat
|
Dipti Sharma
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Exploiting Structure in Parsing to 1-Endpoint-Crossing Graphs
Robin Kurtz
|
Marco Kuhlmann
|
Arc-Hybrid Non-Projective Dependency Parsing with a Static-Dynamic Oracle
Miryam de Lhoneux
|
Sara Stymne
|
Joakim Nivre
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Encoder-Decoder Shift-Reduce Syntactic Parsing
Jiangming Liu
|
Yue Zhang
|
Arc-Standard Spinal Parsing with Stack-LSTMs
Miguel Ballesteros
|
Xavier Carreras
|
A Dependency Treebank for Kurmanji Kurdish
Memduh Gökırmak
|
Francis M. Tyers
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Convolutional neural networks for chemical-disease relation extraction are improved with character-based word embeddings
Dat Quoc Nguyen
|
Karin Verspoor
|
Compositional Morpheme Embeddings with Affixes as Functions and Stems as Arguments
Daniel Edmiston
|
Karl Stratos
|
Nightmare at test time: How punctuation prevents parsers from generalizing
Anders Søgaard
|
Miryam de Lhoneux
|
Isabelle Augenstein
|
Can LSTM Learn to Capture Agreement? The Case of Basque
Shauli Ravfogel
|
Yoav Goldberg
|
Francis Tyers
|
Explicitly modeling case improves neural dependency parsing
Clara Vania
|
Adam Lopez
|
Transition-based Parsing with Lighter Feed-Forward Networks
David Vilares
|
Carlos Gómez-Rodríguez
|
Extended and Enhanced Polish Dependency Bank in Universal Dependencies Format
Alina Wróblewska
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Approximate Dynamic Oracle for Dependency Parsing with Reinforcement Learning
Xiang Yu
|
Ngoc Thang Vu
|
Jonas Kuhn
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Jabberwocky Parsing: Dependency Parsing with Lexical Noise
Jungo Kasai
|
Robert Frank
|
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