NLPExplorer

Structured Training for Neural Network Transition-Based Parsing

David Weiss | Chris Alberti | Michael Collins | Slav Petrov |

Paper Details:

Month: July
Year: 2015
Location: Beijing, China
Venue: ACL | IJCNLP |

Citations

URL

A Universal Framework for Inductive Transfer Parsing across Multi-typed Treebanks
Jiang Guo | Wanxiang Che | Haifeng Wang | Ting Liu |

Seq2seq Dependency Parsing
Zuchao Li | Jiaxun Cai | Shexia He | Hai Zhao |

Improved Transition-based Parsing by Modeling Characters instead of Words with LSTMs
Miguel Ballesteros | Chris Dyer | Noah A. Smith |

Semi-supervised Dependency Parsing using Bilexical Contextual Features from Auto-Parsed Data
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Improved Transition-Based Parsing and Tagging with Neural Networks
Chris Alberti | David Weiss | Greg Coppola | Slav Petrov |

An Improved Non-monotonic Transition System for Dependency Parsing
Matthew Honnibal | Mark Johnson |

Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic Oracles
James Cross | Liang Huang |

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
Wenya Wang | Sinno Jialin Pan | Daniel Dahlmeier | Xiaokui Xiao |

Neural Network for Heterogeneous Annotations
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Exploiting Mutual Benefits between Syntax and Semantic Roles using Neural Network
Peng Shi | Zhiyang Teng | Yue Zhang |

evision PDF of 'LSTM Shift-Reduce CCG Parsing
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Neural Shift-Reduce CCG Semantic Parsing
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Transition-Based Dependency Parsing with Heuristic Backtracking
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Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Tianze Shi | Liang Huang | Lillian Lee |

A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto | Caiming Xiong | Yoshimasa Tsuruoka | Richard Socher |

Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell | Patrick Verga | David Belanger | Andrew McCallum |

Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data
Wenhui Wang | Baobao Chang | Mairgup Mansur |

State-of-the-art Chinese Word Segmentation with Bi-LSTMs
Ji Ma | Kuzman Ganchev | David Weiss |

Dependency Parsing as Head Selection
Xingxing Zhang | Jianpeng Cheng | Mirella Lapata |

Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency Parsing
Minh Lê | Antske Fokkens |

Transition-based Spinal Parsing
Miguel Ballesteros | Xavier Carreras |

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Swabha Swayamdipta | Miguel Ballesteros | Chris Dyer | Noah A. Smith |

Embedding Words and Senses Together via Joint Knowledge-Enhanced Training
Massimiliano Mancini | Jose Camacho-Collados | Ignacio Iacobacci | Roberto Navigli |

A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
Dat Quoc Nguyen | Mark Dras | Mark Johnson |

A Transition-based System for Universal Dependency Parsing
Hao Wang | Hai Zhao | Zhisong Zhang |

An Improved Neural Network Model for Joint POS Tagging and Dependency Parsing
Dat Quoc Nguyen | Karin Verspoor |

LibN3L:A Lightweight Package for Neural NLP
Meishan Zhang | Jie Yang | Zhiyang Teng | Yue Zhang |

Neural Scoring Function for MST Parser
Jindřich Libovický |

Multilingual Dependency Parsing for Low-Resource Languages: Case Studies on North Saami and Komi-Zyrian
KyungTae Lim | Niko Partanen | Thierry Poibeau |

Expected F-Measure Training for Shift-Reduce Parsing with Recurrent Neural Networks
Wenduan Xu | Michael Auli | Stephen Clark |

LSTM CCG Parsing
Mike Lewis | Kenton Lee | Luke Zettlemoyer |

Shift-Reduce CCG Parsing using Neural Network Models
Bharat Ram Ambati | Tejaswini Deoskar | Mark Steedman |

Making Dependency Labeling Simple, Fast and Accurate
Tianxiao Shen | Tao Lei | Regina Barzilay |

A Neural Probabilistic Structured-Prediction Model for Transition-Based Dependency Parsing
Hao Zhou | Yue Zhang | Shujian Huang | Jiajun Chen |

Generative Incremental Dependency Parsing with Neural Networks
Jan Buys | Phil Blunsom |

Generalized Transition-based Dependency Parsing via Control Parameters
Bernd Bohnet | Ryan McDonald | Emily Pitler | Ji Ma |

Transition-Based Neural Word Segmentation
Meishan Zhang | Yue Zhang | Guohong Fu |

Neural Network-Based Model for Japanese Predicate Argument Structure Analysis
Tomohide Shibata | Daisuke Kawahara | Sadao Kurohashi |

Probabilistic Graph-based Dependency Parsing with Convolutional Neural Network
Zhisong Zhang | Hai Zhao | Lianhui Qin |

Stack-propagation: Improved Representation Learning for Syntax
Yuan Zhang | David Weiss |

Graph-based Dependency Parsing with Bidirectional LSTM
Wenhui Wang | Baobao Chang |

Incremental Parsing with Minimal Features Using Bi-Directional LSTM
James Cross | Liang Huang |

Improving Dependency Parsing Using Sentence Clause Charts
Vincent Kríž | Barbora Hladká |

A* CCG Parsing with a Supertag and Dependency Factored Model
Masashi Yoshikawa | Hiroshi Noji | Yuji Matsumoto |

Towards a Seamless Integration of Word Senses into Downstream NLP Applications
Mohammad Taher Pilehvar | Jose Camacho-Collados | Roberto Navigli | Nigel Collier |

Character Composition Model with Convolutional Neural Networks for Dependency Parsing on Morphologically Rich Languages
Xiang Yu | Ngoc Thang Vu |

Efficient Structured Inference for Transition-Based Parsing with Neural Networks and Error States
Ashish Vaswani | Kenji Sagae |

Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
Eliyahu Kiperwasser | Yoav Goldberg |

Easy-First Dependency Parsing with Hierarchical Tree LSTMs
Eliyahu Kiperwasser | Yoav Goldberg |

M2L at SemEval-2016 Task 8: AMR Parsing with Neural Networks
Yevgeniy Puzikov | Daisuke Kawahara | Sadao Kurohashi |

An empirical study for Vietnamese dependency parsing
Dat Quoc Nguyen | Mark Dras | Mark Johnson |

A Bayesian Model for Generative Transition-based Dependency Parsing
Jan Buys | Phil Blunsom |

Find the word that does not belong: A Framework for an Intrinsic Evaluation of Word Vector Representations
José Camacho-Collados | Roberto Navigli |

Semantic Indexing of Multilingual Corpora and its Application on the History Domain
Alessandro Raganato | Jose Camacho-Collados | Antonio Raganato | Yunseo Joung |

Introducing DRAIL – a Step Towards Declarative Deep Relational Learning
Xiao Zhang | Maria Leonor Pacheco | Chang Li | Dan Goldwasser |

Dependency Parsing with Dilated Iterated Graph CNNs
Emma Strubell | Andrew McCallum |

Enriching ASR Lattices with POS Tags for Dependency Parsing
Moritz Stiefel | Ngoc Thang Vu |

Dependency Language Models for Transition-based Dependency Parsing
Juntao Yu | Bernd Bohnet |

Reducing Lexical Features in Parsing by Word Embeddings
Hiroya Komatsu | Ran Tian | Naoaki Okazaki | Kentaro Inui |

http://code.google.com/p/word2vec/

Field Of Study

Linguistic Trends

Embeddings

Task

Tagging Syntactic Parsing

Approach

Structured Prediction

Language

Multilingual English

Dataset

News

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