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Structured Training for Neural Network Transition-Based Parsing

Structured Training for Neural Network Transition-Based Parsing

19 June 2015
David J. Weiss
Chris Alberti
Michael Collins
Slav Petrov
ArXivPDFHTML

Papers citing "Structured Training for Neural Network Transition-Based Parsing"

40 / 40 papers shown
Title
A Semi-Autoregressive Graph Generative Model for Dependency Graph
  Parsing
A Semi-Autoregressive Graph Generative Model for Dependency Graph Parsing
Ye Ma
Mingming Sun
P. Li
GNN
28
1
0
21 Jun 2023
Algorithms for Weighted Pushdown Automata
Algorithms for Weighted Pushdown Automata
Alexandra Butoi
Brian DuSell
Tim Vieira
Ryan Cotterell
David Chiang
AI4CE
36
4
0
13 Oct 2022
Identifying Morality Frames in Political Tweets using Relational
  Learning
Identifying Morality Frames in Political Tweets using Relational Learning
Shamik Roy
Maria Leonor Pacheco
Dan Goldwasser
37
41
0
09 Sep 2021
Back-Training excels Self-Training at Unsupervised Domain Adaptation of
  Question Generation and Passage Retrieval
Back-Training excels Self-Training at Unsupervised Domain Adaptation of Question Generation and Passage Retrieval
Devang Kulshreshtha
Robert Belfer
Iulian Serban
Siva Reddy
OOD
10
16
0
18 Apr 2021
Generating CCG Categories
Generating CCG Categories
Yufang Liu
Tao Ji
Yuanbin Wu
Man Lan
34
5
0
15 Mar 2021
Modeling Content and Context with Deep Relational Learning
Modeling Content and Context with Deep Relational Learning
Maria Leonor Pacheco
Dan Goldwasser
NAI
43
34
0
20 Oct 2020
Neural Approaches for Data Driven Dependency Parsing in Sanskrit
Neural Approaches for Data Driven Dependency Parsing in Sanskrit
Amrith Krishna
Ashim Gupta
Deepak Garasangi
Jivnesh Sandhan
Pavankumar Satuluri
Pawan Goyal
24
6
0
17 Apr 2020
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency
  Parsing with Iterative Refinement
Recursive Non-Autoregressive Graph-to-Graph Transformer for Dependency Parsing with Iterative Refinement
Alireza Mohammadshahi
James Henderson
35
33
0
29 Mar 2020
A Survey of Deep Learning for Scientific Discovery
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
40
120
0
26 Mar 2020
Embodied Language Grounding with 3D Visual Feature Representations
Embodied Language Grounding with 3D Visual Feature Representations
Mihir Prabhudesai
H. Tung
Syed Ashar Javed
Maximilian Sieb
Adam W. Harley
Katerina Fragkiadaki
12
21
0
02 Oct 2019
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based
  Dependency Parsing -- A Tale of Two Parsers Revisited
Deep Contextualized Word Embeddings in Transition-Based and Graph-Based Dependency Parsing -- A Tale of Two Parsers Revisited
Artur Kulmizev
Miryam de Lhoneux
Johannes Gontrum
Elena Fano
Joakim Nivre
38
56
0
20 Aug 2019
Structured Minimally Supervised Learning for Neural Relation Extraction
Structured Minimally Supervised Learning for Neural Relation Extraction
Fan Bai
Alan Ritter
NAI
15
11
0
29 Mar 2019
Left-to-Right Dependency Parsing with Pointer Networks
Left-to-Right Dependency Parsing with Pointer Networks
Daniel Fernández-González
Carlos Gómez-Rodríguez
26
58
0
20 Mar 2019
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for
  Sampling Sequences Without Replacement
Stochastic Beams and Where to Find Them: The Gumbel-Top-k Trick for Sampling Sequences Without Replacement
W. Kool
H. V. Hoof
Max Welling
71
215
0
14 Mar 2019
Low-Resource Syntactic Transfer with Unsupervised Source Reordering
Low-Resource Syntactic Transfer with Unsupervised Source Reordering
Mohammad Sadegh Rasooli
M. Collins
24
22
0
13 Mar 2019
A Fast, Compact, Accurate Model for Language Identification of Codemixed
  Text
A Fast, Compact, Accurate Model for Language Identification of Codemixed Text
Yuan Zhang
Jason Riesa
D. Gillick
A. Bakalov
Jason Baldridge
David J. Weiss
28
33
0
09 Oct 2018
Semi-Supervised Methods for Out-of-Domain Dependency Parsing
Semi-Supervised Methods for Out-of-Domain Dependency Parsing
Juntao Yu
25
0
0
04 Oct 2018
An improved neural network model for joint POS tagging and dependency
  parsing
An improved neural network model for joint POS tagging and dependency parsing
Dat Quoc Nguyen
Karin Verspoor
30
63
0
11 Jul 2018
Straight to the Tree: Constituency Parsing with Neural Syntactic
  Distance
Straight to the Tree: Constituency Parsing with Neural Syntactic Distance
Songlin Yang
Zhouhan Lin
Athul Paul Jacob
Alessandro Sordoni
Aaron Courville
Yoshua Bengio
25
91
0
11 Jun 2018
Stack-Pointer Networks for Dependency Parsing
Stack-Pointer Networks for Dependency Parsing
Xuezhe Ma
Zecong Hu
J. Liu
Nanyun Peng
Graham Neubig
Eduard H. Hovy
GNN
43
166
0
03 May 2018
Human-in-the-loop Artificial Intelligence
Human-in-the-loop Artificial Intelligence
Fabio Massimo Zanzotto
35
265
0
23 Oct 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
On the Role of Text Preprocessing in Neural Network Architectures: An
  Evaluation Study on Text Categorization and Sentiment Analysis
On the Role of Text Preprocessing in Neural Network Architectures: An Evaluation Study on Text Categorization and Sentiment Analysis
Jose Camacho-Collados
Mohammad Taher Pilehvar
40
141
0
06 Jul 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
Arc-swift: A Novel Transition System for Dependency Parsing
Arc-swift: A Novel Transition System for Dependency Parsing
Peng Qi
Christopher D. Manning
29
29
0
12 May 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
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
Improving a Strong Neural Parser with Conjunction-Specific Features
Improving a Strong Neural Parser with Conjunction-Specific Features
Jessica Ficler
Yoav Goldberg
18
7
0
22 Feb 2017
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Fast and Accurate Entity Recognition with Iterated Dilated Convolutions
Emma Strubell
Pat Verga
David Belanger
Andrew McCallum
30
391
0
07 Feb 2017
Symbolic, Distributed and Distributional Representations for Natural
  Language Processing in the Era of Deep Learning: a Survey
Symbolic, Distributed and Distributional Representations for Natural Language Processing in the Era of Deep Learning: a Survey
L. Ferrone
Fabio Massimo Zanzotto
39
37
0
02 Feb 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 Oracles
James Cross
Liang Huang
33
121
0
20 Dec 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
25
77
0
24 Sep 2016
Incremental Parsing with Minimal Features Using Bi-Directional LSTM
Incremental Parsing with Minimal Features Using Bi-Directional LSTM
James Cross
Liang Huang
39
86
0
21 Jun 2016
Recursive Neural Conditional Random Fields for Aspect-based Sentiment
  Analysis
Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis
Wenya Wang
Sinno Jialin Pan
Daniel Dahlmeier
Xiaokui Xiao
40
362
0
22 Mar 2016
Stack-propagation: Improved Representation Learning for Syntax
Stack-propagation: Improved Representation Learning for Syntax
Yuan Zhang
David J. Weiss
37
87
0
21 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
19
568
0
19 Mar 2016
Easy-First Dependency Parsing with Hierarchical Tree LSTMs
Easy-First Dependency Parsing with Hierarchical Tree LSTMs
E. Kiperwasser
Yoav Goldberg
21
65
0
01 Mar 2016
A Primer on Neural Network Models for Natural Language Processing
A Primer on Neural Network Models for Natural Language Processing
Yoav Goldberg
AI4CE
50
1,128
0
02 Oct 2015
Improved Transition-Based Parsing by Modeling Characters instead of
  Words with LSTMs
Improved Transition-Based Parsing by Modeling Characters instead of Words with LSTMs
Miguel Ballesteros
Chris Dyer
Noah A. Smith
19
299
0
04 Aug 2015
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Transition-Based Dependency Parsing with Stack Long Short-Term Memory
Chris Dyer
Miguel Ballesteros
Wang Ling
Austin Matthews
Noah A. Smith
67
801
0
29 May 2015
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