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Learning Recurrent Span Representations for Extractive Question
  Answering

Learning Recurrent Span Representations for Extractive Question Answering

4 November 2016
Kenton Lee
Shimi Salant
Tom Kwiatkowski
Ankur P. Parikh
Dipanjan Das
Jonathan Berant
    RALM
ArXivPDFHTML

Papers citing "Learning Recurrent Span Representations for Extractive Question Answering"

13 / 13 papers shown
Title
Structural Embedding of Syntactic Trees for Machine Comprehension
Structural Embedding of Syntactic Trees for Machine Comprehension
R. Liu
Junjie Hu
Wei Wei
Zi Yang
Eric Nyberg
NAI
81
49
0
02 Mar 2017
Machine Comprehension Using Match-LSTM and Answer Pointer
Machine Comprehension Using Match-LSTM and Answer Pointer
Shuohang Wang
Jing Jiang
73
594
0
29 Aug 2016
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain
  Factoid Question Answering
Dataset and Neural Recurrent Sequence Labeling Model for Open-Domain Factoid Question Answering
Peng Li
Wei Li
Zhen He
Xuguang Wang
Ying Cao
Jie Zhou
Wenyuan Xu
59
94
0
21 Jul 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
233
8,113
0
16 Jun 2016
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
Danqi Chen
Jason Bolton
Christopher D. Manning
ELM
76
570
0
09 Jun 2016
A Decomposable Attention Model for Natural Language Inference
A Decomposable Attention Model for Natural Language Inference
Ankur P. Parikh
Oscar Täckström
Dipanjan Das
Jakob Uszkoreit
331
1,374
0
06 Jun 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCV
DRL
BDL
159
1,650
0
16 Dec 2015
The Goldilocks Principle: Reading Children's Books with Explicit Memory
  Representations
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations
Felix Hill
Antoine Bordes
S. Chopra
Jason Weston
RALM
99
635
0
07 Nov 2015
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
323
3,538
0
10 Jun 2015
Pointer Networks
Pointer Networks
Oriol Vinyals
Meire Fortunato
Navdeep Jaitly
115
3,048
0
09 Jun 2015
LSTM: A Search Space Odyssey
LSTM: A Search Space Odyssey
Klaus Greff
R. Srivastava
Jan Koutník
Bas R. Steunebrink
Jürgen Schmidhuber
AI4TS
VLM
112
5,290
0
13 Mar 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.5K
149,842
0
22 Dec 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
507
27,263
0
01 Sep 2014
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