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Approximation-Aware Dependency Parsing by Belief Propagation

Approximation-Aware Dependency Parsing by Belief Propagation

10 August 2015
Matthew R. Gormley
Mark Dredze
Jason Eisner
    3DV
ArXiv (abs)PDFHTML

Papers citing "Approximation-Aware Dependency Parsing by Belief Propagation"

18 / 18 papers shown
Title
The Quantified Boolean Bayesian Network: Theory and Experiments with a
  Logical Graphical Model
The Quantified Boolean Bayesian Network: Theory and Experiments with a Logical Graphical Model
Gregory Coppola
45
2
0
09 Feb 2024
Transferring Neural Potentials For High Order Dependency Parsing
Transferring Neural Potentials For High Order Dependency Parsing
Farshad Noravesh
16
1
0
18 Jun 2023
Modeling Label Correlations for Second-Order Semantic Dependency Parsing
  with Mean-Field Inference
Modeling Label Correlations for Second-Order Semantic Dependency Parsing with Mean-Field Inference
Aaron Courville
Kewei Tu
66
1
0
07 Apr 2022
Headed-Span-Based Projective Dependency Parsing
Headed-Span-Based Projective Dependency Parsing
Aaron Courville
Kewei Tu
76
14
0
10 Aug 2021
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Neural, Symbolic and Neural-Symbolic Reasoning on Knowledge Graphs
Jing Zhang
Bo Chen
Lingxi Zhang
Xirui Ke
Haipeng Ding
NAI
112
3
0
12 Oct 2020
Second-Order Neural Dependency Parsing with Message Passing and
  End-to-End Training
Second-Order Neural Dependency Parsing with Message Passing and End-to-End Training
Xinyu Wang
Kewei Tu
3DV
98
37
0
10 Oct 2020
High-order Semantic Role Labeling
High-order Semantic Role Labeling
Z. Li
Hai Zhao
Rui Wang
Kevin Parnow
80
31
0
09 Oct 2020
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
Xinyu Wang
Jingxian Huang
Kewei Tu
3DV
59
66
0
19 Jun 2019
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based
  Sentiment Analysis
An Interactive Multi-Task Learning Network for End-to-End Aspect-Based Sentiment Analysis
Ruidan He
Wee Sun Lee
Hwee Tou Ng
Daniel Dahlmeier
57
235
0
17 Jun 2019
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
37
3
0
11 Dec 2017
Structured Set Matching Networks for One-Shot Part Labeling
Structured Set Matching Networks for One-Shot Part Labeling
Jonghyun Choi
Jayant Krishnamurthy
Aniruddha Kembhavi
Ali Farhadi
84
23
0
05 Dec 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
103
40
0
01 Aug 2017
TensorLog: Deep Learning Meets Probabilistic DBs
TensorLog: Deep Learning Meets Probabilistic DBs
William W. Cohen
Fan Yang
Kathryn Mazaitis
NAI
84
41
0
17 Jul 2017
Differentiable Scheduled Sampling for Credit Assignment
Differentiable Scheduled Sampling for Credit Assignment
Kartik Goyal
Chris Dyer
Taylor Berg-Kirkpatrick
87
40
0
23 Apr 2017
Structured Attention Networks
Structured Attention Networks
Yoon Kim
Carl Denton
Luong Hoang
Alexander M. Rush
148
463
0
03 Feb 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
131
386
0
15 Jan 2017
TensorLog: A Differentiable Deductive Database
TensorLog: A Differentiable Deductive Database
William W. Cohen
95
123
0
20 May 2016
Edge-Linear First-Order Dependency Parsing with Undirected Minimum
  Spanning Tree Inference
Edge-Linear First-Order Dependency Parsing with Undirected Minimum Spanning Tree Inference
Effi Levi
Roi Reichart
A. Rappoport
LRM
24
4
0
26 Oct 2015
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