Abstract is missing.
- Ruminating Reader: Reasoning with Gated Multi-hop AttentionYichen Gong, Samuel R. Bowman. 1-11 [doi]
- Systematic Error Analysis of the Stanford Question Answering DatasetMarc-Antoine Rondeau, Timothy J. Hazen. 12-20 [doi]
- A Multi-Stage Memory Augmented Neural Network for Machine Reading ComprehensionSeunghak Yu, Sathish Reddy Indurthi, Seohyun Back, Haejun Lee. 21-30 [doi]
- Tackling Adversarial Examples in QA via Answer Sentence SelectionYuanhang Ren, Ye Du, Di Wang. 31-36 [doi]
- DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world ApplicationsWei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu 0003, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang. 37-46 [doi]
- Robust and Scalable Differentiable Neural Computer for Question AnsweringJörg Franke, Jan Niehues, Alex Waibel. 47-59 [doi]
- A Systematic Classification of Knowledge, Reasoning, and Context within the ARC DatasetMichael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, Michael Witbrock. 60-70 [doi]
- RECIPE: Applying Open Domain Question Answering to Privacy PoliciesYan Shvartzshanider, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian. 71-77 [doi]
- Neural Models for Key Phrase Extraction and Question GenerationSandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, Yoshua Bengio. 78-88 [doi]
- Comparative Analysis of Neural QA models on SQuADSoumya Wadhwa, Khyathi Raghavi Chandu, Eric Nyberg. 89-97 [doi]
- Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Taskan Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li. 98-104 [doi]