Fetching the paper…
Reading the bibliography…
We investigate the problem of generating informative questions in information-asymmetric conversations.
Document expansion by query prediction
Rodrigo Nogueira, Wei Yang, Jimmy Lin, and Kyunghyun Cho. 2019 · 1904
Earlier work this paper cites.
Ask to learn: A study on curiosity-driven question generation
Thomas Scialom and Jacopo Staiano. 2019 · 1911
Earlier work this paper cites.
Logic and conversation
Herbert P Grice. 1975 · 1975
Earlier work this paper cites.
Effects of question-generation training on reading comprehension
Beth Davey and Susan McBride. 1986 · 1986
Earlier work this paper cites.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J Williams. 1992 · 1992
Earlier work this paper cites.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
The logic of interrogation
Jeroen Groenendijk. 1999 · 1999
Earlier work this paper cites.
BLEU: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
Earlier work this paper cites.
Computer-aided generation of multiple-choice tests
Ruslan Mitkov et al. 2003 · 2003
Earlier work this paper cites.
Questioning to resolve decision problems
Robert van Rooy. 2003 · 2003
Earlier work this paper cites.
ROUGE: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Good question! Statistical ranking for question generation
Michael Heilman and Noah A Smith. 2010 · 2010
Earlier work this paper cites.
The first question generation shared task evaluation challenge
Vasile Rus, Brendan Wyse, Paul Piwek, Mihai Lintean, Svetlana Stoyanchev, and Cristian Moldovan. 2010 · 2010
Earlier work this paper cites.
Predicting pragmatic reasoning in language games
Michael C Frank and Noah D Goodman. 2012 · 2012
Earlier work this paper cites.
Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
GloVe: Global vectors for word representation
Jeffrey Pennington, Richard Socher, and Christopher D Manning. 2014 · 2014
Earlier work this paper cites.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2015 · 2015
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P Kingma and Jimmy Ba. 2015 · 2015
Earlier work this paper cites.
Reasoning about pragmatics with neural listeners and speakers
Jacob Andreas and Dan Klein. 2016 · 2016
Cited alongside, same era.
Deep reinforcement learning for dialogue generation
Jiwei Li, Will Monroe, Alan Ritter, Dan Jurafsky, Michel Galley, and Jianfeng Gao. 2016 · 2016
Cited alongside, same era.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Learning end-to-end goal-oriented dialog
Antoine Bordes, Y-Lan Boureau, and Jason Weston. 2017 · 2017
Cited alongside, same era.
Learning to ask: Neural question generation for reading comprehension
Xinya Du, Junru Shao, and Claire Cardie. 2017 · 2017
Cited alongside, same era.
Question generation for question answering
Nan Duan, Duyu Tang, Peng Chen, and Ming Zhou. 2017 · 2017
Cited alongside, same era.
AllenNLP: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F. Liu, Matthew Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
Later among the works it cites.
A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
Later among the works it cites.
Know what you don’t know: Unanswerable questions for SQuAD
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
Later among the works it cites.
Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information
Sudha Rao and Hal Daumé III. 2018 · 2018
Later among the works it cites.
Better conversations by modeling, filtering, and optimizing for coherence and diversity
Xinnuo Xu, Ondřej Dušek, Ioannis Konstas, and Verena Rieser. 2018 · 2018
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
It doesn’t hurt to ask: Question-asking increases liking
Karen Huang, Michael Yeomans, Alison Wood Brooks, Julia Minson, and Francesca Gino. 2017 · 2017
Cited alongside, same era.
Towards an automatic Turing test: Learning to evaluate dialogue responses
Ryan Lowe, Michael Noseworthy, Iulian Vlad Serban, Nicolas Angelard-Gontier, Yoshua Bengio, and Joelle Pineau. 2017 · 2017
Cited alongside, same era.
Colors in context: A pragmatic neural model for grounded language understanding
Will Monroe, Robert X. D. Hawkins, Noah D. Goodman, and Christopher Potts. 2017 · 2017
Cited alongside, same era.
Why we need new evaluation metrics for NLG
Jekaterina Novikova, Ondřej Dušek, Amanda Cercas Curry, and Verena Rieser. 2017 · 2017
Cited alongside, same era.
Using the output embedding to improve language models
Ofir Press and Lior Wolf. 2017 · 2017
Cited alongside, same era.
Self-critical sequence training for image captioning
Steven J Rennie, Etienne Marcheret, Youssef Mroueh, Jerret Ross, and Vaibhava Goel. 2017 · 2017
Cited alongside, same era.
Reuben Cohn-Gordon, Noah Goodman, and Christopher Potts. 2019 · 2019
Later among the works it cites.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Later among the works it cites.
Wizard of Wikipedia: Knowledge-powered conversational agents
Emily Dinan, Stephen Roller, Kurt Shuster, Angela Fan, Michael Auli, and Jason Weston. 2019 · 2019
Later among the works it cites.
Interconnected question generation with coreference alignment and conversation flow modeling
Yifan Gao, Piji Li, Irwin King, and Michael R. Lyu. 2019 · 2019
Later among the works it cites.
Unifying human and statistical evaluation for natural language generation
Tatsunori Hashimoto, Hugh Zhang, and Percy Liang. 2019 · 2019
Later among the works it cites.
Linguistically-informed specificity and semantic plausibility for dialogue generation
Wei-Jen Ko, Greg Durrett, and Junyi Jessy Li. 2019b · 2019
Later among the works it cites.
Towards answer-unaware conversational question generation
Mao Nakanishi, Tetsunori Kobayashi, and Yoshihiko Hayashi. 2019 · 2019
Later among the works it cites.
Reinforced dynamic reasoning for conversational question generation
Boyuan Pan, Hao Li, Ziyu Yao, Deng Cai, and Huan Sun. 2019 · 2019
Later among the works it cites.
Answer-based Adversarial Training for Generating Clarification Questions
Sudha Rao and Hal Daumé III. 2019 · 2019
Later among the works it cites.
CoQA: A conversational question answering challenge
Siva Reddy, Danqi Chen, and Christopher D. Manning. 2019 · 2019
Later among the works it cites.
Pretraining with contrastive sentence objectives improves discourse performance of language models
Dan Iter, Kelvin Guu, Larry Lansing, and Dan Jurafsky. 2020 · 2020
Closest in time.
BERTScore: Evaluating text generation with BERT
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q. Weinberger, and Yoav Artzi. 2020 · 2020
Closest in time.