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

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

29 May 2015
Chris Dyer
Miguel Ballesteros
Wang Ling
Austin Matthews
Noah A. Smith
ArXivPDFHTML

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

50 / 271 papers shown
Title
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Learning Latent Permutations with Gumbel-Sinkhorn Networks
Gonzalo E. Mena
David Belanger
Scott W. Linderman
Jasper Snoek
51
261
0
23 Feb 2018
A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)
A Neural Multi-sequence Alignment TeCHnique (NeuMATCH)
Pelin Dogan
Boyang Albert Li
Leonid Sigal
Markus Gross
AI4TS
30
19
0
19 Feb 2018
Non-Projective Dependency Parsing via Latent Heads Representation (LHR)
Non-Projective Dependency Parsing via Latent Heads Representation (LHR)
Matteo Grella
Simone Cangialosi
21
1
0
06 Feb 2018
Building an Ellipsis-aware Chinese Dependency Treebank for Web Text
Building an Ellipsis-aware Chinese Dependency Treebank for Web Text
Xuancheng Ren
Xu Sun
Ji Wen
Bingzhen Wei
Weidong Zhan
Zhiyuan Zhang
21
2
0
20 Jan 2018
Adversarial Learning for Chinese NER from Crowd Annotations
Adversarial Learning for Chinese NER from Crowd Annotations
YaoSheng Yang
Meishan Zhang
Wenliang Chen
Wei Zhang
Haofen Wang
Min Zhang
22
33
0
16 Jan 2018
A Chinese Dataset with Negative Full Forms for General Abbreviation
  Prediction
A Chinese Dataset with Negative Full Forms for General Abbreviation Prediction
Wenjie Qu
Xu Sun
AI4CE
11
8
0
18 Dec 2017
Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks
Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks
Huatian Zhang
Shizhen Xu
Graham Neubig
Wei-Ming Dai
Qirong Ho
Guangwen Yang
Eric Xing
GNN
23
3
0
11 Dec 2017
Word Sense Disambiguation with LSTM: Do We Really Need 100 Billion
  Words?
Word Sense Disambiguation with LSTM: Do We Really Need 100 Billion Words?
Minh Le
Marten Postma
Jacopo Urbani
11
3
0
09 Dec 2017
Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese
  Dependency Parsing
Hybrid Oracle: Making Use of Ambiguity in Transition-based Chinese Dependency Parsing
Xuancheng Ren
Xu Sun
40
1
0
28 Nov 2017
Non-Projective Dependency Parsing with Non-Local Transitions
Non-Projective Dependency Parsing with Non-Local Transitions
Daniel Fernández-González
Carlos Gómez-Rodríguez
27
17
0
25 Oct 2017
An attentive neural architecture for joint segmentation and parsing and
  its application to real estate ads
An attentive neural architecture for joint segmentation and parsing and its application to real estate ads
Giannis Bekoulis
Johannes Deleu
T. Demeester
Chris Develder
26
29
0
27 Sep 2017
Towards Neural Machine Translation with Latent Tree Attention
Towards Neural Machine Translation with Latent Tree Attention
James Bradbury
R. Socher
22
14
0
06 Sep 2017
Arc-Standard Spinal Parsing with Stack-LSTMs
Arc-Standard Spinal Parsing with Stack-LSTMs
Miguel Ballesteros
X. Carreras
10
1
0
01 Sep 2017
Fast(er) Exact Decoding and Global Training for Transition-Based
  Dependency Parsing via a Minimal Feature Set
Fast(er) Exact Decoding and Global Training for Transition-Based Dependency Parsing via a Minimal Feature Set
Tianze Shi
Liang Huang
Lillian Lee
47
45
0
30 Aug 2017
Cross-lingual, Character-Level Neural Morphological Tagging
Cross-lingual, Character-Level Neural Morphological Tagging
Ryan Cotterell
G. Heigold
CLIP
20
73
0
30 Aug 2017
A Simple LSTM model for Transition-based Dependency Parsing
A Simple LSTM model for Transition-based Dependency Parsing
Mohab Elkaref
Bernd Bohnet
13
9
0
29 Aug 2017
Combining Discrete and Neural Features for Sequence Labeling
Combining Discrete and Neural Features for Sequence Labeling
Jie Yang
Zhiyang Teng
Meishan Zhang
Yue Zhang
18
71
0
24 Aug 2017
Recent Trends in Deep Learning Based Natural Language Processing
Recent Trends in Deep Learning Based Natural Language Processing
Tom Young
Devamanyu Hazarika
Soujanya Poria
Min Zhang
35
2,824
0
09 Aug 2017
A Generative Parser with a Discriminative Recognition Algorithm
A Generative Parser with a Discriminative Recognition Algorithm
Jianpeng Cheng
Adam Lopez
Mirella Lapata
13
5
0
01 Aug 2017
A Continuous Relaxation of Beam Search for End-to-end Training of Neural
  Sequence Models
A Continuous Relaxation of Beam Search for End-to-end Training of Neural Sequence Models
Kartik Goyal
Graham Neubig
Chris Dyer
Taylor Berg-Kirkpatrick
3DV
44
40
0
01 Aug 2017
AMR Parsing using Stack-LSTMs
AMR Parsing using Stack-LSTMs
Miguel Ballesteros
Yaser Al-Onaizan
26
64
0
24 Jul 2017
Composing Distributed Representations of Relational Patterns
Composing Distributed Representations of Relational Patterns
Sho Takase
Naoaki Okazaki
Kentaro Inui
CoGe
13
11
0
23 Jul 2017
Reconstruction of Word Embeddings from Sub-Word Parameters
Reconstruction of Word Embeddings from Sub-Word Parameters
K. Stratos
29
9
0
21 Jul 2017
A Sub-Character Architecture for Korean Language Processing
A Sub-Character Architecture for Korean Language Processing
K. Stratos
23
28
0
20 Jul 2017
In-Order Transition-based Constituent Parsing
In-Order Transition-based Constituent Parsing
Jiangming Liu
Yue Zhang
41
65
0
17 Jul 2017
Multitask Learning for Fine-Grained Twitter Sentiment Analysis
Multitask Learning for Fine-Grained Twitter Sentiment Analysis
Georgios Balikas
Simon Moura
Massih-Reza Amini
9
91
0
12 Jul 2017
Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological
  Reinflection
Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Peter Makarov
T. Ruzsics
Simon Clematide
32
53
0
05 Jul 2017
Encoder-Decoder Shift-Reduce Syntactic Parsing
Encoder-Decoder Shift-Reduce Syntactic Parsing
Jiangming Liu
Yue Zhang
18
15
0
24 Jun 2017
Transfer Learning for Neural Semantic Parsing
Transfer Learning for Neural Semantic Parsing
Xing Fan
Emilio Monti
Lambert Mathias
Markus Dreyer
25
65
0
14 Jun 2017
A Full Non-Monotonic Transition System for Unrestricted Non-Projective
  Parsing
A Full Non-Monotonic Transition System for Unrestricted Non-Projective Parsing
Daniel Fernández-González
Carlos Gómez-Rodríguez
16
7
0
11 Jun 2017
How Important is Syntactic Parsing Accuracy? An Empirical Evaluation on
  Rule-Based Sentiment Analysis
How Important is Syntactic Parsing Accuracy? An Empirical Evaluation on Rule-Based Sentiment Analysis
Carlos Gómez-Rodríguez
I. Alonso-Alonso
David Vilares
19
26
0
07 Jun 2017
On Multilingual Training of Neural Dependency Parsers
On Multilingual Training of Neural Dependency Parsers
Michal Zapotoczny
Paweł Rychlikowski
J. Chorowski
16
3
0
29 May 2017
On the relation between dependency distance, crossing dependencies, and
  parsing. Comment on "Dependency distance: a new perspective on syntactic
  patterns in natural languages" by Haitao Liu et al
On the relation between dependency distance, crossing dependencies, and parsing. Comment on "Dependency distance: a new perspective on syntactic patterns in natural languages" by Haitao Liu et al
Carlos Gómez-Rodríguez
16
5
0
27 May 2017
Deriving Neural Architectures from Sequence and Graph Kernels
Deriving Neural Architectures from Sequence and Graph Kernels
Tao Lei
Wengong Jin
Regina Barzilay
Tommi Jaakkola
GNN
45
137
0
25 May 2017
Parsing with CYK over Distributed Representations
Parsing with CYK over Distributed Representations
Fabio Massimo Zanzotto
Giordano Cristini
G. Satta
GNN
11
2
0
24 May 2017
On-the-fly Operation Batching in Dynamic Computation Graphs
On-the-fly Operation Batching in Dynamic Computation Graphs
Graham Neubig
Yoav Goldberg
Chris Dyer
34
60
0
22 May 2017
Softmax Q-Distribution Estimation for Structured Prediction: A
  Theoretical Interpretation for RAML
Softmax Q-Distribution Estimation for Structured Prediction: A Theoretical Interpretation for RAML
Xuezhe Ma
Pengcheng Yin
J. Liu
Graham Neubig
Eduard H. Hovy
20
19
0
19 May 2017
Universal Dependencies Parsing for Colloquial Singaporean English
Universal Dependencies Parsing for Colloquial Singaporean English
Hongmin Wang
Yue Zhang
GuangYong Leonard Chan
Jie Yang
Hai Leong Chieu
19
28
0
18 May 2017
A Novel Neural Network Model for Joint POS Tagging and Graph-based
  Dependency Parsing
A Novel Neural Network Model for Joint POS Tagging and Graph-based Dependency Parsing
Dat Quoc Nguyen
Mark Dras
Mark Johnson
VLM
19
38
0
16 May 2017
Learning Structured Natural Language Representations for Semantic
  Parsing
Learning Structured Natural Language Representations for Semantic Parsing
Jianpeng Cheng
Siva Reddy
V. Saraswat
Mirella Lapata
NAI
16
75
0
27 Apr 2017
From Characters to Words to in Between: Do We Capture Morphology?
From Characters to Words to in Between: Do We Capture Morphology?
Clara Vania
Adam Lopez
16
96
0
26 Apr 2017
Robust Incremental Neural Semantic Graph Parsing
Robust Incremental Neural Semantic Graph Parsing
Jan Buys
Phil Blunsom
3DV
32
72
0
24 Apr 2017
Fast and Accurate Neural Word Segmentation for Chinese
Fast and Accurate Neural Word Segmentation for Chinese
Deng Cai
Zhao Hai
Zhisong Zhang
Yuan Xin
Yongjian Wu
Feiyue Huang
VLM
25
94
0
24 Apr 2017
A* CCG Parsing with a Supertag and Dependency Factored Model
A* CCG Parsing with a Supertag and Dependency Factored Model
Masashi Yoshikawa
Hiroshi Noji
Yuji Matsumoto
LRM
3DV
22
63
0
23 Apr 2017
Neural End-to-End Learning for Computational Argumentation Mining
Neural End-to-End Learning for Computational Argumentation Mining
Steffen Eger
Johannes Daxenberger
Iryna Gurevych
24
192
0
20 Apr 2017
SyntaxNet Models for the CoNLL 2017 Shared Task
SyntaxNet Models for the CoNLL 2017 Shared Task
Chris Alberti
D. Andor
Ivan Bogatyy
Michael Collins
D. Gillick
...
Mark Omernick
Slav Petrov
C. Thanapirom
Zora Tung
David J. Weiss
3DV
21
33
0
15 Mar 2017
Encoding Sentences with Graph Convolutional Networks for Semantic Role
  Labeling
Encoding Sentences with Graph Convolutional Networks for Semantic Role Labeling
Diego Marcheggiani
Ivan Titov
GNN
NAI
11
828
0
14 Mar 2017
DRAGNN: A Transition-based Framework for Dynamically Connected Neural
  Networks
DRAGNN: A Transition-based Framework for Dynamically Connected Neural Networks
Lingpeng Kong
Chris Alberti
D. Andor
Ivan Bogatyy
David J. Weiss
GNN
42
34
0
13 Mar 2017
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Neural Machine Translation and Sequence-to-sequence Models: A Tutorial
Graham Neubig
AIMat
37
171
0
05 Mar 2017
Are Emojis Predictable?
Are Emojis Predictable?
Horacio Saggion
Miguel Ballesteros
Francesco Barbieri
24
123
0
23 Feb 2017
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