NLPExplorer

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

Paper Details:

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

Citations

URL

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
Eliyahu Kiperwasser | Yoav Goldberg |

Improved Transition-Based Parsing and Tagging with Neural Networks
Chris Alberti | David Weiss | Greg Coppola | Slav Petrov |

Neural Network for Heterogeneous Annotations
Hongshen Chen | Yue Zhang | Qun Liu |

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

A Neural Network Architecture for Multilingual Punctuation Generation
Miguel Ballesteros | Leo Wanner |

Context-Sensitive Lexicon Features for Neural Sentiment Analysis
Zhiyang Teng | Duy-Tin Vo | Yue Zhang |

evision PDF of 'LSTM Shift-Reduce CCG Parsing
Wenduan Xu |

Syntactic Parsing of Web Queries
Xiangyan Sun | Haixun Wang | Yanghua Xiao | Zhongyuan Wang |

Training with Exploration Improves a Greedy Stack LSTM Parser
Miguel Ballesteros | Yoav Goldberg | Chris Dyer | Noah A. Smith |

Transition-Based Dependency Parsing with Heuristic Backtracking
Jacob Buckman | Miguel Ballesteros | Chris Dyer |

Global Neural CCG Parsing with Optimality Guarantees
Kenton Lee | Mike Lewis | Luke Zettlemoyer |

Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Tianze Shi | Liang Huang | Lillian Lee |

Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers
André F. T. Martins | Julia Kreutzer |

A Sub-Character Architecture for Korean Language Processing
Karl Stratos |

Cross-lingual Character-Level Neural Morphological Tagging
Ryan Cotterell | Georg Heigold |

A Joint Sequential and Relational Model for Frame-Semantic Parsing
Bishan Yang | Tom Mitchell |

AMR Parsing using Stack-LSTMs
Miguel Ballesteros | Yaser Al-Onaizan |

Learning Contextually Informed Representations for Linear-Time Discourse Parsing
Yang Liu | Mirella Lapata |

Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani | Ivan Titov |

Incremental Graph-based Neural Dependency Parsing
Xiaoqing Zheng |

End-to-End Neural Relation Extraction with Global Optimization
Meishan Zhang | Yue Zhang | Guohong Fu |

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

Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision
Haoruo Peng | Ming-Wei Chang | Wen-tau Yih |

Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing
Jetic Gū | Hassan S. Shavarani | Anoop Sarkar |

A Neural Transition-based Model for Nested Mention Recognition
Bailin Wang | Wei Lu | Yu Wang | Hongxia Jin |

DeepCx: A transition-based approach for shallow semantic parsing with complex constructional triggers
Jesse Dunietz | Jaime Carbonell | Lori Levin |

Better Transition-Based AMR Parsing with a Refined Search Space
Zhijiang Guo | Wei Lu |

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 |

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

Modeling Input Uncertainty in Neural Network Dependency Parsing
Rob van der Goot | Gertjan van Noord |

When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso | Barbara Plank |

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 |

Multilingual Back-and-Forth Conversion between Content and Function Head for Easy Dependency Parsing
Ryosuke Kohita | Hiroshi Noji | Yuji Matsumoto |

Are Emojis Predictable?
Francesco Barbieri | Miguel Ballesteros | Horacio Saggion |

Context-Aware Prediction of Derivational Word-forms
Ekaterina Vylomova | Ryan Cotterell | Timothy Baldwin | Trevor Cohn |

Multilingual Lexicalized Constituency Parsing with Word-Level Auxiliary Tasks
Maximin Coavoux | Benoît Crabbé |

Improving a Strong Neural Parser with Conjunction-Specific Features
Jessica Ficler | Yoav Goldberg |

Neural Probabilistic Model for Non-projective MST Parsing
Xuezhe Ma | Eduard Hovy |

Transition-based Spinal Parsing
Miguel Ballesteros | Xavier Carreras |

Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
Swabha Swayamdipta | Miguel Ballesteros | Chris Dyer | Noah A. Smith |

A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role Labeling
Diego Marcheggiani | Anton Frolov | Ivan Titov |

Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Peter Makarov | Tatiana Ruzsics | Simon Clematide |

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 |

Weakly-Supervised Neural Semantic Parsing with a Generative Ranker
Jianpeng Cheng | Mirella Lapata |

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

A Morphology-Based Representation Model for LSTM-Based Dependency Parsing of Agglutinative Languages
Şaziye Betül Özateş | Arzucan Özgür | Tunga Güngör | Balkız Öztürk |

A Long Short-Term Memory Framework for Predicting Humor in Dialogues
Dario Bertero | Pascale Fung |

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 |

Top-down Tree Long Short-Term Memory Networks
Xingxing Zhang | Liang Lu | Mirella Lapata |

Recurrent Memory Networks for Language Modeling
Ke Tran | Arianna Bisazza | Christof Monz |

A Latent Variable Recurrent Neural Network for Discourse-Driven Language Models
Yangfeng Ji | Gholamreza Haffari | Jacob Eisenstein |

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

Weighting Finite-State Transductions With Neural Context
Pushpendre Rastogi | Ryan Cotterell | Jason Eisner |

Learning Global Features for Coreference Resolution
Sam Wiseman | Alexander M. Rush | Stuart M. Shieber |

Right-truncatable Neural Word Embeddings
Jun Suzuki | Masaaki Nagata |

Scene Graph Parsing as Dependency Parsing
Yu-Siang Wang | Chenxi Liu | Xiaohui Zeng | Alan Yuille |

Neural Particle Smoothing for Sampling from Conditional Sequence Models
Chu-Cheng Lin | Jason Eisner |

Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media
Gustavo Aguilar | Adrian Pastor López-Monroy | Fabio González | Thamar Solorio |

A Transition-Based Algorithm for Unrestricted AMR Parsing
David Vilares | Carlos Gómez-Rodríguez |

Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees
Lauriane Aufrant | Guillaume Wisniewski | François Yvon |

Contextual Augmentation: Data Augmentation by Words with Paradigmatic Relations
Sosuke Kobayashi |

Non-Projective Dependency Parsing with Non-Local Transitions
Daniel Fernández-González | Carlos Gómez-Rodríguez |

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 |

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 |

End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF
Xuezhe Ma | Eduard Hovy |

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 |

Which argument is more convincing? Analyzing and predicting convincingness of Web arguments using bidirectional LSTM
Ivan Habernal | Iryna Gurevych |

Composing Distributed Representations of Relational Patterns
Sho Takase | Naoaki Okazaki | Kentaro Inui |

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

Transition-based dependency parsing with topological fields
Daniël de Kok | Erhard Hinrichs |

Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger | Johannes Daxenberger | Iryna Gurevych |

Learning Structured Natural Language Representations for Semantic Parsing
Jianpeng Cheng | Siva Reddy | Vijay Saraswat | Mirella Lapata |

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

Leveraging Knowledge Bases in LSTMs for Improving Machine Reading
Bishan Yang | Tom Mitchell |

A Generative Parser with a Discriminative Recognition Algorithm
Jianpeng Cheng | Adam Lopez | Mirella Lapata |

Sentence-State LSTM for Text Representation
Yue Zhang | Qi Liu | Linfeng Song |

Sequence-to-sequence Models for Cache Transition Systems
Xiaochang Peng | Linfeng Song | Daniel Gildea | Giorgio Satta |

Multimodal Named Entity Disambiguation for Noisy Social Media Posts
Seungwhan Moon | Leonardo Neves | Vitor Carvalho |

Global Transition-based Non-projective Dependency Parsing
Carlos Gómez-Rodríguez | Tianze Shi | Lillian Lee |

Finding syntax in human encephalography with beam search
John Hale | Chris Dyer | Adhiguna Kuncoro | Jonathan Brennan |

Simpler but More Accurate Semantic Dependency Parsing
Timothy Dozat | Christopher D. Manning |

Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information
Sonit Singh |

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 |

Shift-Reduce Constituent Parsing with Neural Lookahead Features
Jiangming Liu | Yue Zhang |

Head-Lexicalized Bidirectional Tree LSTMs
Zhiyang Teng | Yue Zhang |

In-Order Transition-based Constituent Parsing
Jiangming Liu | Yue Zhang |

HCCL at SemEval-2018 Task 8: An End-to-End System for Sequence Labeling from Cybersecurity Reports
Mingming Fu | Xuemin Zhao | Yonghong Yan |

Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations
Nam Khanh Tran | Weiwei Cheng |

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 |

Joint Learning of Sentence Embeddings for Relevance and Entailment
Petr Baudiš | Silvestr Stanko | Jan Šedivý |

Mapping Unseen Words to Task-Trained Embedding Spaces
Pranava Swaroop Madhyastha | Mohit Bansal | Kevin Gimpel | Karen Livescu |

Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov | Manaal Faruqui | Chris Dyer |

Multi-task Domain Adaptation for Sequence Tagging
Nanyun Peng | Mark Dredze |

Towards Neural Machine Translation with Latent Tree Attention
James Bradbury | Richard Socher |

A Multi-task Approach for Named Entity Recognition in Social Media Data
Gustavo Aguilar | Suraj Maharjan | Adrian Pastor López-Monroy | Thamar Solorio |

TAG Parser Evaluation using Textual Entailments
Pauli Xu | Robert Frank | Jungo Kasai | Owen Rambow |

Encoder-Decoder Shift-Reduce Syntactic Parsing
Jiangming Liu | Yue Zhang |

Bilingual Character Representation for Efficiently Addressing Out-of-Vocabulary Words in Code-Switching Named Entity Recognition
Genta Indra Winata | Chien-Sheng Wu | Andrea Madotto | Pascale Fung |

Can LSTM Learn to Capture Agreement? The Case of Basque
Shauli Ravfogel | Yoav Goldberg | Francis Tyers |

An Operation Sequence Model for Explainable Neural Machine Translation
Felix Stahlberg | Danielle Saunders | Bill Byrne |

Treatment Side Effect Prediction from Online User-generated Content
Van Hoang Nguyen | Kazunari Sugiyama | Min-Yen Kan | Kishaloy Halder |

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

https://github.com/clab/lstm-parser

Field Of Study

Linguistic Trends

Embeddings Syntax

Task

Tagging

Language

Chinese English

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