MRQA 2018: Machine Reading for Question Answering

Workshop at ACL 2018
Date: Thursday, July 19, 2018
Room: 210

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