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Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision

Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision

26 August 2018
Hai Wang
Hoifung Poon
    UQCV
ArXiv (abs)PDFHTML

Papers citing "Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision"

16 / 16 papers shown
Title
Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Cross-Sentence N-ary Relation Extraction with Graph LSTMs
Nanyun Peng
Hoifung Poon
Chris Quirk
Kristina Toutanova
Wen-tau Yih
68
512
0
12 Aug 2017
Identifying civilians killed by police with distantly supervised
  entity-event extraction
Identifying civilians killed by police with distantly supervised entity-event extraction
Katherine A. Keith
Abram Handler
Michael Pinkham
Cara Magliozzi
J. McDuffie
Brendan O'Connor
52
36
0
22 Jul 2017
Heterogeneous Supervision for Relation Extraction: A Representation
  Learning Approach
Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach
Liyuan Liu
Xiang Ren
Qi Zhu
Shi Zhi
Huan Gui
Heng Ji
Jiawei Han
82
81
0
01 Jul 2017
Learning the Structure of Generative Models without Labeled Data
Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach
Bryan D. He
Alexander Ratner
Christopher Ré
68
166
0
02 Mar 2017
Distant Supervision for Relation Extraction beyond the Sentence Boundary
Distant Supervision for Relation Extraction beyond the Sentence Boundary
Chris Quirk
Hoifung Poon
49
228
0
15 Sep 2016
Improving Coreference Resolution by Learning Entity-Level Distributed
  Representations
Improving Coreference Resolution by Learning Entity-Level Distributed Representations
Kevin Clark
Christopher D. Manning
89
337
0
04 Jun 2016
Data Programming: Creating Large Training Sets, Quickly
Data Programming: Creating Large Training Sets, Quickly
Alexander Ratner
Christopher De Sa
Sen Wu
Daniel Selsam
Christopher Ré
199
718
0
25 May 2016
Harnessing Deep Neural Networks with Logic Rules
Harnessing Deep Neural Networks with Logic Rules
Zhiting Hu
Xuezhe Ma
Zhengzhong Liu
Eduard H. Hovy
Eric Xing
AI4CENAI
90
614
0
21 Mar 2016
Composing graphical models with neural networks for structured
  representations and fast inference
Composing graphical models with neural networks for structured representations and fast inference
Matthew J. Johnson
David Duvenaud
Alexander B. Wiltschko
S. R. Datta
Ryan P. Adams
BDLOCL
92
485
0
20 Mar 2016
Teaching Machines to Read and Comprehend
Teaching Machines to Read and Comprehend
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
353
3,553
0
10 Jun 2015
Leveraging Deep Neural Networks and Knowledge Graphs for Entity
  Disambiguation
Leveraging Deep Neural Networks and Knowledge Graphs for Entity Disambiguation
Hongzhao Huang
Larry Heck
Heng Ji
66
91
0
28 Apr 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
448
20,606
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,338
0
01 Sep 2014
Semi-Supervised Learning with Deep Generative Models
Semi-Supervised Learning with Deep Generative Models
Diederik P. Kingma
Danilo Jimenez Rezende
S. Mohamed
Max Welling
GANSSLBDL
100
2,742
0
20 Jun 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,922
0
20 Dec 2013
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Loopy Belief Propagation for Approximate Inference: An Empirical Study
Kevin P. Murphy
Yair Weiss
Michael I. Jordan
3DV
135
1,883
0
23 Jan 2013
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