Papers
Generalizing Question Answering System with Pre-trained Language Model Fine-tuning
Dan Su, Yan Xu, Genta Indra Winata et al.
Domain-agnostic Question-Answering with Adversarial Training
Seanie Lee, Donggyu Kim, Jangwon Park
Question Answering Using Hierarchical Attention on Top of BERT Features
Reham Osama, Nagwa El-Makky, Marwan Torki
CLER: Cross-task Learning with Expert Representation to Generalize Reading and Understanding
Takumi Takahashi, Motoki Taniguchi, Tomoki Taniguchi et al.
Extractive NarrativeQA with Heuristic Pre-Training
Lea Frermann
Let Me Know What to Ask: Interrogative-Word-Aware Question Generation
Junmo Kang, Haritz Puerto San Roman, Sung-Hyon Myaeng
A Recurrent BERT-based Model for Question Generation
Ying-Hong Chan, Yao-Chung Fan
Comprehensive Multi-Dataset Evaluation of Reading Comprehension
Dheeru Dua, Ananth Gottumukkala, Alon Talmor et al.
ReQA: An Evaluation for End-to-End Answer Retrieval Models
Amin Ahmad, Noah Constant, Yinfei Yang et al.
Bend but Don’t Break? Multi-Challenge Stress Test for QA Models
Hemant Pugaliya, James Route, Kaixin Ma et al.
Evaluating Question Answering Evaluation
Anthony Chen, Gabriel Stanovsky, Sameer Singh et al.
Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering
Rajarshi Das, Ameya Godbole, Dilip Kavarthapu et al.
On Making Reading Comprehension More Comprehensive
Matt Gardner, Jonathan Berant, Hannaneh Hajishirzi et al.
Machine Comprehension Improves Domain-Specific Japanese Predicate-Argument Structure Analysis
Norio Takahashi, Tomohide Shibata, Daisuke Kawahara et al.
Do Multi-hop Readers Dream of Reasoning Chains?
Haoyu Wang, Mo Yu, Xiaoxiao Guo et al.
FlowDelta: Modeling Flow Information Gain in Reasoning for Conversational Machine Comprehension
Yi-Ting Yeh, Yun-Nung Chen
Book QA: Stories of Challenges and Opportunities
Stefanos Angelidis, Lea Frermann, Diego Marcheggiani et al.
Cross-Task Knowledge Transfer for Query-Based Text Summarization
Elozino Egonmwan, Vittorio Castelli, Md Arafat Sultan
Towards Answer-unaware Conversational Question Generation
Mao Nakanishi, Tetsunori Kobayashi, Yoshihiko Hayashi
Reasoning Over Paragraph Effects in Situations
Kevin Lin, Oyvind Tafjord, Peter Clark et al.
Improving the Robustness of Deep Reading Comprehension Models by Leveraging Syntax Prior
Bowen Wu, Haoyang Huang, Zongsheng Wang et al.
Simple yet Effective Bridge Reasoning for Open-Domain Multi-Hop Question Answering
Wenhan Xiong, Mo Yu, Xiaoxiao Guo et al.
Answer-Supervised Question Reformulation for Enhancing Conversational Machine Comprehension
Qian Li, Hui Su, Cheng Niu et al.
Improving Question Answering with External Knowledge
Xiaoman Pan, Kai Sun, Dian Yu et al.
CALOR-QUEST : generating a training corpus for Machine Reading Comprehension models from shallow semantic annotations
Frederic Bechet, Cindy Aloui, Delphine Charlet et al.