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Making Neural QA as Simple as Possible but not Simpler

Making Neural QA as Simple as Possible but not Simpler

14 March 2017
Dirk Weissenborn
Georg Wiese
Laura Seiffe
ArXivPDFHTML

Papers citing "Making Neural QA as Simple as Possible but not Simpler"

11 / 111 papers shown
Title
Simple and Effective Multi-Paragraph Reading Comprehension
Simple and Effective Multi-Paragraph Reading Comprehension
Christopher Clark
Matt Gardner
RALM
23
454
0
29 Oct 2017
Constructing Datasets for Multi-hop Reading Comprehension Across
  Documents
Constructing Datasets for Multi-hop Reading Comprehension Across Documents
Johannes Welbl
Pontus Stenetorp
Sebastian Riedel
SyDa
RALM
53
508
0
17 Oct 2017
Globally Normalized Reader
Globally Normalized Reader
Jonathan Raiman
John Miller
35
36
0
08 Sep 2017
Adversarial Examples for Evaluating Reading Comprehension Systems
Adversarial Examples for Evaluating Reading Comprehension Systems
Robin Jia
Percy Liang
AAML
ELM
145
1,581
0
23 Jul 2017
Neural Question Answering at BioASQ 5B
Neural Question Answering at BioASQ 5B
Georg Wiese
Dirk Weissenborn
Mariana Neves
9
24
0
26 Jun 2017
S-Net: From Answer Extraction to Answer Generation for Machine Reading
  Comprehension
S-Net: From Answer Extraction to Answer Generation for Machine Reading Comprehension
Chuanqi Tan
Furu Wei
Nan Yang
Bowen Du
Weifeng Lv
M. Zhou
RALM
28
92
0
15 Jun 2017
Neural Domain Adaptation for Biomedical Question Answering
Neural Domain Adaptation for Biomedical Question Answering
Georg Wiese
Dirk Weissenborn
Mariana Neves
MedIm
OOD
35
112
0
12 Jun 2017
Dynamic Integration of Background Knowledge in Neural NLU Systems
Dynamic Integration of Background Knowledge in Neural NLU Systems
Dirk Weissenborn
Tomávs Kovciský
Chris Dyer
17
62
0
08 Jun 2017
Reinforced Mnemonic Reader for Machine Reading Comprehension
Reinforced Mnemonic Reader for Machine Reading Comprehension
Minghao Hu
Yuxing Peng
Zhen Huang
Xipeng Qiu
Furu Wei
Ming Zhou
RALM
AIMat
19
69
0
08 May 2017
Ruminating Reader: Reasoning with Gated Multi-Hop Attention
Ruminating Reader: Reasoning with Gated Multi-Hop Attention
Yichen Gong
Samuel R. Bowman
32
46
0
24 Apr 2017
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
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