Proceedings are now online here.
Accepted Papers
This is the list of accepted papers to MRQA 2018.
Congratulations to all of the authors,
and thanks to all of our reviewers for their hard work!
- A Multi-Stage Memory Augmented Neural Network For Machine Reading Comprehension
Seunghak Yu, Sathish Reddy Indurthi, Seohyun Back, and Haejun Lee
- A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset
Michael Boratko, Harshit Padigela, Divyendra Mikkilineni, Pritish Yuvraj, Rajarshi Das, Andrew McCallum, Maria Chang, Achille Fokoue-Nkoutche, Pavan Kapanipathi, Nicholas Mattei, Ryan Musa, Kartik Talamadupula, and Michael Witbrock
- Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
An Yang, Kai Liu, Jing Liu, Yajuan Lyu, and Sujian Li
- Comparative Analysis of Neural QA Models on SQuAD
Soumya Wadhwa, Khyathi Chandu, and Eric Nyberg
- DuReader: A Chinese Machine Reading Comprehension Dataset from Real-world Applications
Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, and Haifeng Wang
- Neural Models for Key Phrase Extraction and Question Generation
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, and Yoshua Bengio
- Robust and Scalable Differentiable Neural Computer for Question Answering
Jörg Franke, Jan Niehues, and Alex Waibel
- Ruminating Reader: Reasoning with Gated Multi-hop Attention
Yichen Gong and Samuel Bowman
- Systematic Error Analysis of the Stanford Question Answering Dataset
Marc-Antoine Rondeau and T. J. Hazen
- Tackling Adversarial Examples in QA via Answer Sentence Selection
Yuanhang Ren, Ye Du, and Di Wang
- RECIPE: Applying Open Domain Question Answering to Privacy Policies
Yan Shvartzshanider, Ananth Balashankar, Thomas Wies, and Lakshminarayanan Subramanian
In addition, the following papers that were published at another venue will also be presented at MRQA 2018:
- Efficient and Robust Question Answering from Minimal Context over Documents
Sewon Min, Victor Zhong, Richard Socher, and Caiming Xiong
Published at ACL 2018
- Harvesting Paragraph-Level Question-Answer Pairs from Wikipedia
Xinya Du and Claire Cardie
Published at ACL 2018
- Multi-Relational Question Answering from Narratives:
Machine Reading and Reasoning in Simulated Worlds
Igor Labutov, Bishan Yang, Anusha Prakash, and Amos Azaria.
Published at ACL 2018
- QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension
Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc Le
Published at ICLR 2018
- Simple and Effective Multi-Paragraph Reading Comprehension
Christopher Clark and Matt Gardner
Published at ACL 2018