acl137

acl 2018 论文列表

Proceedings of the Workshop on Machine Reading for Question Answering@ACL 2018, Melbourne, Australia, July 19, 2018.

Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task.

An Yang Kai Liu Jing Liu Yajuan Lyu Sujian Li

Comparative Analysis of Neural QA models on SQuAD.

Soumya Wadhwa Khyathi Raghavi Chandu Eric Nyberg

Neural Models for Key Phrase Extraction and Question Generation.

Sandeep Subramanian Tong Wang Xingdi Yuan Saizheng Zhang Adam Trischler Yoshua Bengio

RECIPE: Applying Open Domain Question Answering to Privacy Policies.

Yan Shvartzshanider Ananth Balashankar Thomas Wies Lakshminarayanan Subramanian

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 Michael Witbrock

Robust and Scalable Differentiable Neural Computer for Question Answering.

Jörg Franke Jan Niehues Alex Waibel

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 Haifeng Wang

Tackling Adversarial Examples in QA via Answer Sentence Selection.

Yuanhang Ren Ye Du Di Wang

A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension.

Seunghak Yu Sathish Reddy Indurthi Seohyun Back Haejun Lee

Systematic Error Analysis of the Stanford Question Answering Dataset.

Marc-Antoine Rondeau Timothy J. Hazen

Ruminating Reader: Reasoning with Gated Multi-hop Attention.

Yichen Gong Samuel R. Bowman