QA@ACL

Publications

2018

Soumya Wadhwa, Khyathi Raghavi Chandu, Eric Nyberg
Comparative Analysis of Neural QA models on SQuAD. QA@ACL (2018)
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, Michael Witbrock
A Systematic Classification of Knowledge, Reasoning, and Context within the ARC Dataset. QA@ACL (2018)
Yuanhang Ren, Ye Du, Di Wang
Tackling Adversarial Examples in QA via Answer Sentence Selection. QA@ACL (2018)
Jörg Franke, Jan Niehues, Alex Waibel
Robust and Scalable Differentiable Neural Computer for Question Answering. QA@ACL (2018)
Sandeep Subramanian, Tong Wang, Xingdi Yuan, Saizheng Zhang, Adam Trischler, Yoshua Bengio
Neural Models for Key Phrase Extraction and Question Generation. QA@ACL (2018)
Yichen Gong, Samuel R. Bowman
Ruminating Reader: Reasoning with Gated Multi-hop Attention. QA@ACL (2018)
An Yang, Kai Liu, Jing Liu, Yajuan Lyu, Sujian Li
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task. QA@ACL (2018)
Yan Shvartzshanider, Ananth Balashankar, Thomas Wies, Lakshminarayanan Subramanian
RECIPE: Applying Open Domain Question Answering to Privacy Policies. QA@ACL (2018)
Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, Melbourne, Australia, July 19, 2018 QA@ACL (2018)
Wei He, Kai Liu, Jing Liu, Yajuan Lyu, Shiqi Zhao, Xinyan Xiao, Yuan Liu, Yizhong Wang, Hua Wu, Qiaoqiao She, Xuan Liu, Tian Wu, Haifeng Wang
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications. QA@ACL (2018)
Seunghak Yu, Sathish Reddy Indurthi, Seohyun Back, Haejun Lee
A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension. QA@ACL (2018)
Marc-Antoine Rondeau, Timothy J. Hazen
Systematic Error Analysis of the Stanford Question Answering Dataset. QA@ACL (2018)