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

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

Annual Meeting of the Association for Computational Linguistics (ACL), 2015
29 May 2015
Chris Dyer
Miguel Ballesteros
Wang Ling
Austin Matthews
Noah A. Smith
ArXiv (abs)PDFHTML

Papers citing "Transition-Based Dependency Parsing with Stack Long Short-Term Memory"

50 / 273 papers shown
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig
AIMat
253
183
0
05 Mar 2017
Are Emojis Predictable?
Are Emojis Predictable?Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2017
Horacio Saggion
Miguel Ballesteros
Francesco Barbieri
119
126
0
23 Feb 2017
Tackling Error Propagation through Reinforcement Learning: A Case of
  Greedy Dependency Parsing
Tackling Error Propagation through Reinforcement Learning: A Case of Greedy Dependency ParsingConference of the European Chapter of the Association for Computational Linguistics (EACL), 2017
Minh Le
Antske Fokkens
123
20
0
22 Feb 2017
Improving a Strong Neural Parser with Conjunction-Specific Features
Improving a Strong Neural Parser with Conjunction-Specific FeaturesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2017
Jessica Ficler
Yoav Goldberg
122
7
0
22 Feb 2017
Context-Aware Prediction of Derivational Word-forms
Context-Aware Prediction of Derivational Word-formsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2017
Ekaterina Vylomova
Robert Bamler
Timothy Baldwin
Trevor Cohn
170
15
0
22 Feb 2017
Learning to Parse and Translate Improves Neural Machine Translation
Learning to Parse and Translate Improves Neural Machine TranslationAnnual Meeting of the Association for Computational Linguistics (ACL), 2017
Akiko Eriguchi
Yoshimasa Tsuruoka
Dong Wang
AI4CEAIMat
203
150
0
12 Feb 2017
Neural Models for Sequence Chunking
Neural Models for Sequence ChunkingAAAI Conference on Artificial Intelligence (AAAI), 2017
Feifei Zhai
Saloni Potdar
Bing Xiang
Bowen Zhou
193
128
0
15 Jan 2017
DyNet: The Dynamic Neural Network Toolkit
DyNet: The Dynamic Neural Network Toolkit
Graham Neubig
Chris Dyer
Yoav Goldberg
Austin Matthews
Bridger Waleed Ammar
...
Yusuke Oda
Matthew Richardson
Naomi Saphra
Swabha Swayamdipta
Pengcheng Yin
238
390
0
15 Jan 2017
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based
  Semantic Role Labeling
A Simple and Accurate Syntax-Agnostic Neural Model for Dependency-based Semantic Role LabelingConference on Computational Natural Language Learning (CoNLL), 2017
Diego Marcheggiani
Anton Frolov
Ivan Titov
234
111
0
10 Jan 2017
Neural Probabilistic Model for Non-projective MST Parsing
Neural Probabilistic Model for Non-projective MST ParsingInternational Joint Conference on Natural Language Processing (IJCNLP), 2017
Xuezhe Ma
Eduard H. Hovy
285
45
0
04 Jan 2017
Span-Based Constituency Parsing with a Structure-Label System and
  Provably Optimal Dynamic Oracles
Span-Based Constituency Parsing with a Structure-Label System and Provably Optimal Dynamic OraclesConference on Empirical Methods in Natural Language Processing (EMNLP), 2016
James Cross
Liang Huang
209
122
0
20 Dec 2016
Transition-based Parsing with Context Enhancement and Future Reward
  Reranking
Transition-based Parsing with Context Enhancement and Future Reward Reranking
Fu-qiu Zhou
Fuxiang Wu
Zhengchen Zhang
M. Dong
LRM
83
0
0
15 Dec 2016
Reading Comprehension using Entity-based Memory Network
Reading Comprehension using Entity-based Memory Network
Xun Wang
Katsuhito Sudoh
Masaaki Nagata
Tomohide Shibata
Daisuke Kawahara
Sadao Kurohashi
KELM
169
3
0
12 Dec 2016
When is multitask learning effective? Semantic sequence prediction under
  varying data conditions
When is multitask learning effective? Semantic sequence prediction under varying data conditions
Héctor Martínez Alonso
Barbara Plank
172
166
0
07 Dec 2016
Shift-Reduce Constituent Parsing with Neural Lookahead Features
Shift-Reduce Constituent Parsing with Neural Lookahead Features
Jiangming Liu
Yue Zhang
AI4TS
120
46
0
02 Dec 2016
Bidirectional Tree-Structured LSTM with Head Lexicalization
Bidirectional Tree-Structured LSTM with Head Lexicalization
Zhiyang Teng
Yue Zhang
137
24
0
21 Nov 2016
Visualizing and Understanding Curriculum Learning for Long Short-Term
  Memory Networks
Visualizing and Understanding Curriculum Learning for Long Short-Term Memory Networks
Volkan Cirik
Eduard H. Hovy
Louis-Philippe Morency
174
78
0
18 Nov 2016
Deep Biaffine Attention for Neural Dependency Parsing
Deep Biaffine Attention for Neural Dependency Parsing
Timothy Dozat
Christopher D. Manning
399
1,282
0
06 Nov 2016
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Kazuma Hashimoto
Caiming Xiong
Yoshimasa Tsuruoka
R. Socher
KELM
447
585
0
05 Nov 2016
Learning Continuous Semantic Representations of Symbolic Expressions
Learning Continuous Semantic Representations of Symbolic Expressions
Miltiadis Allamanis
Pankajan Chanthirasegaran
Pushmeet Kohli
Charles Sutton
CLLNAI
214
108
0
04 Nov 2016
An empirical study for Vietnamese dependency parsing
An empirical study for Vietnamese dependency parsing
Dat Quoc Nguyen
Mark Dras
Mark Johnson
132
15
0
03 Nov 2016
Keystroke dynamics as signal for shallow syntactic parsing
Keystroke dynamics as signal for shallow syntactic parsingInternational Conference on Computational Linguistics (COLING), 2016
Barbara Plank
166
43
0
11 Oct 2016
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
Distilling an Ensemble of Greedy Dependency Parsers into One MST Parser
A. Kuncoro
Miguel Ballesteros
Lingpeng Kong
Chris Dyer
Noah A. Smith
MoE
132
77
0
24 Sep 2016
Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing
Read, Tag, and Parse All at Once, or Fully-neural Dependency Parsing
J. Chorowski
Michal Zapotoczny
Paweł Rychlikowski
165
5
0
12 Sep 2016
Multi-task Domain Adaptation for Sequence Tagging
Multi-task Domain Adaptation for Sequence Tagging
Nanyun Peng
Mark Dredze
189
95
0
09 Aug 2016
Bi-directional Attention with Agreement for Dependency Parsing
Bi-directional Attention with Agreement for Dependency Parsing
Hao Cheng
Hao Fang
Xiaodong He
Jianfeng Gao
Li Deng
185
47
0
06 Aug 2016
Dependency Language Models for Transition-based Dependency Parsing
Dependency Language Models for Transition-based Dependency ParsingInternational Workshop/Conference on Parsing Technologies (IWPT), 2016
Juntao Yu
Bernd Bohnet
126
4
0
18 Jul 2016
Global Neural CCG Parsing with Optimality Guarantees
Global Neural CCG Parsing with Optimality GuaranteesConference on Empirical Methods in Natural Language Processing (EMNLP), 2016
Kenton Lee
M. Lewis
Luke Zettlemoyer
206
41
0
05 Jul 2016
Learning Crosslingual Word Embeddings without Bilingual Corpora
Learning Crosslingual Word Embeddings without Bilingual CorporaConference on Empirical Methods in Natural Language Processing (EMNLP), 2016
Long Duong
H. Kanayama
Tengfei Ma
Steven Bird
Trevor Cohn
171
115
0
30 Jun 2016
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMs
Greedy, Joint Syntactic-Semantic Parsing with Stack LSTMsConference on Computational Natural Language Learning (CoNLL), 2016
Swabha Swayamdipta
Miguel Ballesteros
Chris Dyer
Noah A. Smith
RALM
151
63
0
29 Jun 2016
Correlation-based Intrinsic Evaluation of Word Vector Representations
Correlation-based Intrinsic Evaluation of Word Vector Representations
Yulia Tsvetkov
Manaal Faruqui
Chris Dyer
215
30
0
21 Jun 2016
Incremental Parsing with Minimal Features Using Bi-Directional LSTM
Incremental Parsing with Minimal Features Using Bi-Directional LSTM
James Cross
Liang Huang
190
88
0
21 Jun 2016
Data Recombination for Neural Semantic Parsing
Data Recombination for Neural Semantic Parsing
Robin Jia
Abigail Z. Jacobs
200
476
0
11 Jun 2016
Dependency Parsing as Head Selection
Dependency Parsing as Head SelectionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2016
Xingxing Zhang
Jianpeng Cheng
Mirella Lapata
453
95
0
03 Jun 2016
Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task
  Learning
Exploiting Multi-typed Treebanks for Parsing with Deep Multi-task Learning
Jiang Guo
Wanxiang Che
Haifeng Wang
Ting Liu
100
21
0
03 Jun 2016
Question Answering over Knowledge Base with Neural Attention Combining
  Global Knowledge Information
Question Answering over Knowledge Base with Neural Attention Combining Global Knowledge Information
Yuanzhe Zhang
Kang Liu
Shizhu He
Guoliang Ji
Zhanyi Liu
Hua Wu
Jun Zhao
121
58
0
03 Jun 2016
Joint Learning of Sentence Embeddings for Relevance and Entailment
Joint Learning of Sentence Embeddings for Relevance and Entailment
P. Baudis
S. Stanko
Jan Sedivý
167
12
0
16 May 2016
Learning the Curriculum with Bayesian Optimization for Task-Specific
  Word Representation Learning
Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
Yulia Tsvetkov
Manaal Faruqui
Wang Ling
B. MacWhinney
Chris Dyer
276
96
0
12 May 2016
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic
  Representation Learning
Polyglot Neural Language Models: A Case Study in Cross-Lingual Phonetic Representation Learning
Yulia Tsvetkov
Sunayana Sitaram
Manaal Faruqui
Guillaume Lample
Patrick Littell
David R. Mortensen
A. Black
Lori S. Levin
Chris Dyer
148
66
0
12 May 2016
Dependency Parsing with LSTMs: An Empirical Evaluation
Dependency Parsing with LSTMs: An Empirical Evaluation
A. Kuncoro
Yu Sawai
Kevin Duh
Yuji Matsumoto
132
3
0
22 Apr 2016
Exploring Segment Representations for Neural Segmentation Models
Exploring Segment Representations for Neural Segmentation Models
Yijia Liu
Wanxiang Che
Jiang Guo
Bing Qin
Ting Liu
SSeg
113
56
0
19 Apr 2016
Learning Global Features for Coreference Resolution
Learning Global Features for Coreference Resolution
Sam Wiseman
Alexander M. Rush
Stuart M. Shieber
201
200
0
11 Apr 2016
Optimizing Performance of Recurrent Neural Networks on GPUs
Optimizing Performance of Recurrent Neural Networks on GPUs
J. Appleyard
Tomás Kociský
Phil Blunsom
139
94
0
07 Apr 2016
Stack-propagation: Improved Representation Learning for Syntax
Stack-propagation: Improved Representation Learning for Syntax
Yuan Zhang
David J. Weiss
162
87
0
21 Mar 2016
Sentence Pair Scoring: Towards Unified Framework for Text Comprehension
Sentence Pair Scoring: Towards Unified Framework for Text Comprehension
P. Baudis
Jan Pichl
Tomáš Vyskočil
Jan Sedivý
240
36
0
19 Mar 2016
Globally Normalized Transition-Based Neural Networks
Globally Normalized Transition-Based Neural Networks
D. Andor
Chris Alberti
David J. Weiss
Aliaksei Severyn
Alessandro Presta
Kuzman Ganchev
Slav Petrov
Michael Collins
245
571
0
19 Mar 2016
A Fast Unified Model for Parsing and Sentence Understanding
A Fast Unified Model for Parsing and Sentence Understanding
Samuel R. Bowman
Jon Gauthier
Abhinav Rastogi
Raghav Gupta
Christopher D. Manning
Christopher Potts
324
319
0
19 Mar 2016
Recurrent Dropout without Memory Loss
Recurrent Dropout without Memory Loss
Stanislau Semeniuta
Aliaksei Severyn
Erhardt Barth
190
225
0
16 Mar 2016
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature
  Representations
Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations
E. Kiperwasser
Yoav Goldberg
293
680
0
14 Mar 2016
Training with Exploration Improves a Greedy Stack-LSTM Parser
Training with Exploration Improves a Greedy Stack-LSTM Parser
Miguel Ballesteros
Yoav Goldberg
Chris Dyer
Noah A. Smith
207
78
0
11 Mar 2016
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