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Ask the Right Questions: Active Question Reformulation with Reinforcement Learning
22 May 2017
Christian Buck
Jannis Bulian
Massimiliano Ciaramita
Wojciech Gajewski
Andrea Gesmundo
N. Houlsby
Wei Wang
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Papers citing
"Ask the Right Questions: Active Question Reformulation with Reinforcement Learning"
42 / 92 papers shown
Maximizing Information Gain in Partially Observable Environments via Prediction Reward
Yash Satsangi
Sungsu Lim
Shimon Whiteson
F. Oliehoek
Martha White
232
15
0
11 May 2020
Can We Learn Heuristics For Graphical Model Inference Using Reinforcement Learning?
Safa Messaoud
Maghav Kumar
Alex Schwing
239
5
0
27 Apr 2020
Contextualized Representations Using Textual Encyclopedic Knowledge
Mandar Joshi
Kenton Lee
Yi Luan
Kristina Toutanova
314
31
0
24 Apr 2020
Unsupervised Commonsense Question Answering with Self-Talk
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Vered Shwartz
Peter West
Ronan Le Bras
Chandra Bhagavatula
Yejin Choi
ReLM
SSL
AI4MH
LRM
299
279
0
11 Apr 2020
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters
Findings (Findings), 2020
Ruize Wang
Duyu Tang
Nan Duan
Zhongyu Wei
Xuanjing Huang
Jianshu Ji
Guihong Cao
Daxin Jiang
Ming Zhou
KELM
588
596
0
05 Feb 2020
Paraphrase Generation with Latent Bag of Words
Neural Information Processing Systems (NeurIPS), 2020
Yao Fu
Yansong Feng
John P. Cunningham
BDL
265
102
0
07 Jan 2020
How to Ask Better Questions? A Large-Scale Multi-Domain Dataset for Rewriting Ill-Formed Questions
AAAI Conference on Artificial Intelligence (AAAI), 2019
Zewei Chu
Mingda Chen
Jiehua Chen
Miaosen Wang
Kevin Gimpel
Manaal Faruqui
Xiance Si
197
21
0
21 Nov 2019
Contrastive Multi-document Question Generation
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2019
W. Cho
Yizhe Zhang
Sudha Rao
Asli Celikyilmaz
Chenyan Xiong
Jianfeng Gao
Mengdi Wang
Bill Dolan
SyDa
375
31
0
08 Nov 2019
Do Multi-hop Readers Dream of Reasoning Chains?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Haoyu Wang
Mo Yu
Xiaoxiao Guo
Rajarshi Das
Wenhan Xiong
Tian Gao
LRM
143
26
0
31 Oct 2019
Generating a Common Question from Multiple Documents using Multi-source Encoder-Decoder Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
W. Cho
Yizhe Zhang
Sudha Rao
Chris Brockett
Sungjin Lee
189
7
0
25 Oct 2019
Answering Complex Open-domain Questions Through Iterative Query Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Peng Qi
Xiaowen Lin
L. Mehr
Zijian Wang
Christopher D. Manning
RALM
ReLM
LRM
431
129
0
15 Oct 2019
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Ameya Godbole
D. Kavarthapu
Rajarshi Das
Z. Gong
Abhishek Singhal
...
Mo Yu
Tian Gao
Xiaoxiao Guo
Manzil Zaheer
Andrew McCallum
RALM
165
51
0
17 Sep 2019
What do Deep Networks Like to Read?
Jonas Pfeiffer
Aishwarya Kamath
Iryna Gurevych
Sebastian Ruder
109
3
0
10 Sep 2019
Augmented Memory Networks for Streaming-Based Active One-Shot Learning
Andreas Kvistad
M. Ruocco
Eliezer de Souza da Silva
Erlend Aune
90
4
0
04 Sep 2019
An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Wanyu Du
Yangfeng Ji
OffRL
114
24
0
28 Aug 2019
Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning
International Workshop on Spoken Dialogue Systems Technology (IWSDS), 2019
Michael Barz
Daniel Sonntag
139
5
0
27 Aug 2019
Learning Representations and Agents for Information Retrieval
Rodrigo Nogueira
AIFin
120
1
0
16 Aug 2019
Generative Question Refinement with Deep Reinforcement Learning in Retrieval-based QA System
International Conference on Information and Knowledge Management (CIKM), 2019
Ye Liu
Chenwei Zhang
Xiaohui Yan
Yi-Ju Chang
Philip S. Yu
214
20
0
13 Aug 2019
Dynamically Composing Domain-Data Selection with Clean-Data Selection by "Co-Curricular Learning" for Neural Machine Translation
Annual Meeting of the Association for Computational Linguistics (ACL), 2019
Wei Wang
Isaac Caswell
Ciprian Chelba
220
63
0
03 Jun 2019
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
International Conference on Learning Representations (ICLR), 2019
Rajarshi Das
Shehzaad Dhuliawala
Manzil Zaheer
Andrew McCallum
RALM
LRM
290
171
0
14 May 2019
Actively Seeking and Learning from Live Data
Damien Teney
Anton Van Den Hengel
OOD
136
22
0
05 Apr 2019
Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation
Sang-Woo Lee
Tong Gao
Sohee Yang
Jaejun Yoo
Jung-Woo Ha
150
18
0
22 Feb 2019
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering
Liang Pang
Yanyan Lan
Jiafeng Guo
Jun Xu
Lixin Su
Xueqi Cheng
186
38
0
12 Jan 2019
Sequence to Sequence Learning for Query Expansion
Salah Zaiem
F. Sadat
120
5
0
25 Dec 2018
Densely Connected Attention Propagation for Reading Comprehension
Yi Tay
Anh Tuan Luu
S. Hui
Jian Su
190
48
0
10 Nov 2018
Learning to Coordinate Multiple Reinforcement Learning Agents for Diverse Query Reformulation
Rodrigo Nogueira
Jannis Bulian
Massimiliano Ciaramita
161
11
0
27 Sep 2018
Answering Science Exam Questions Using Query Rewriting with Background Knowledge
Ryan Musa
Xiaoyang Wang
Achille Fokoue
Nicholas Mattei
Maria Chang
Pavan Kapanipathi
B. Makni
Kartik Talamadupula
Michael Witbrock
208
13
0
15 Sep 2018
Are You Sure You Want To Do That? Classification with Verification
Harris Chan
Atef Chaudhury
Kevin Shen
93
0
0
07 Sep 2018
Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering
Jianmo Ni
Chenguang Zhu
Weizhu Chen
Julian McAuley
RALM
301
38
0
28 Aug 2018
Identifying Well-formed Natural Language Questions
Manaal Faruqui
Dipanjan Das
199
53
0
28 Aug 2018
Adversarially Regularising Neural NLI Models to Integrate Logical Background Knowledge
Pasquale Minervini
Sebastian Riedel
AAML
NAI
GAN
164
122
0
26 Aug 2018
Focused Hierarchical RNNs for Conditional Sequence Processing
Nan Rosemary Ke
Konrad Zolna
Alessandro Sordoni
Zhouhan Lin
Adam Trischler
Yoshua Bengio
Joelle Pineau
Laurent Charlin
C. Pal
AIMat
153
25
0
12 Jun 2018
Joint Training of Candidate Extraction and Answer Selection for Reading Comprehension
Zhen Wang
Jiachen Liu
Xinyan Xiao
Yajuan Lyu
Tian Wu
148
38
0
16 May 2018
The Web as a Knowledge-base for Answering Complex Questions
Alon Talmor
Jonathan Berant
424
706
0
18 Mar 2018
Adviser Networks: Learning What Question to Ask for Human-In-The-Loop Viewpoint Estimation
Mohamed El Banani
Jason J. Corso
OOD
189
2
0
05 Feb 2018
Analyzing Language Learned by an Active Question Answering Agent
Christian Buck
Jannis Bulian
Massimiliano Ciaramita
Wojciech Gajewski
Andrea Gesmundo
N. Houlsby
Wei Wang
LLMAG
110
5
0
23 Jan 2018
Malaria Likelihood Prediction By Effectively Surveying Households Using Deep Reinforcement Learning
Pranav Rajpurkar
Vinaya Polamreddi
Anusha Balakrishnan
KELM
105
4
0
25 Nov 2017
Visual Question Answering as a Meta Learning Task
Damien Teney
Anton Van Den Hengel
OOD
168
45
0
22 Nov 2017
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering
Shuohang Wang
Mo Yu
Jing Jiang
Wei Zhang
Xiaoxiao Guo
Shiyu Chang
Zhiguo Wang
Tim Klinger
Gerald Tesauro
Murray Campbell
RALM
196
164
0
14 Nov 2017
Paraphrase Generation with Deep Reinforcement Learning
Zichao Li
Xin Jiang
Lifeng Shang
Hang Li
OffRL
387
223
0
01 Nov 2017
Constructing Datasets for Multi-hop Reading Comprehension Across Documents
Johannes Welbl
Pontus Stenetorp
Sebastian Riedel
SyDa
RALM
367
546
0
17 Oct 2017
A Joint Model for Question Answering and Question Generation
Tong Wang
Xingdi Yuan
Adam Trischler
134
108
0
05 Jun 2017
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