Fetching the paper…
Reading the bibliography…
It is shown that many published models for the Stanford Question Answering Dataset (Rajpurkar et al., 2016) lack robustness, suffering an over 50% decrease in F1 score during adversarial evaluation based on the AddSent (Jia and Liang, 2017) algorithm.
Distributional structure
Zellig S Harris. 1954 · 1954
Earlier work this paper cites.
Wordnet: An electronic lexical database
C. Fellbaum. 1998 · 1998
Earlier work this paper cites.
The distributional inclusion hypotheses and lexical entailment
Maayan Geffet and Ido Dagan. 2005 · 2005
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.
Intriguing properties of neural networks
C. Szegedy, W. Zaremba, I. Sutskever, J. Bruna, D. Erhan, I. Goodfellow, and R. Fergus. 2014 · 2014
Earlier work this paper cites.
Explaining and harnessing adversarial examples
I. Goodfellow, J. Shlens, and C. Szegedy. 2015 · 2015
Cited alongside, same era.
Squad: 100,000+ questions for machine comprehension of text
P. Rajpurkar, J. Zhang, K. Lopyrev, and P. Liang. 2016 · 2016
Cited alongside, same era.
Reinforced mnemonic reader for machine comprehension
Minghao Hu, Yuxing Peng, and Xipeng Qiu. 2017 · 2017
Cited alongside, same era.
Adversarial examples for evaluating reading comprehension systems
R. Jia and P. Liang. 2017 · 2017
Cited alongside, same era.
Adversarial machine learning at scale
A. Kurakin, I. Goodfellow, and S. Bengio. 2017 · 2017
Cited alongside, same era.
Bi-directional attention flow for machine comprehension
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2017 · 2017
Later among the works it cites.
Machine comprehension using match-lstm and answer pointer
S. Wang and J. Jiang. 2017 · 2017
Later among the works it cites.
Gated self-matching networks for reading comprehension and question answering
Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, and Ming Zhou. 2017 · 2017
Later among the works it cites.
Fusionnet: Fusing via fully-aware attention with application to machine comprehension
Hsin-Yuan Huang, Chenguang Zhu, Yelong Shen, and Weizhu Chen. 2018 · 2018
Closest in time.
Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…