 Machine Reading, Fast and Slow: When Do Models "Understand" Language?International Conference on Computational Linguistics (COLING), 2022 |
 POTATO: exPlainable infOrmation exTrAcTion framewOrkInternational Conference on Information and Knowledge Management (CIKM), 2022 |
 QA Dataset Explosion: A Taxonomy of NLP Resources for Question Answering
and Reading ComprehensionACM Computing Surveys (CSUR), 2021 |
 A Pairwise Probe for Understanding BERT Fine-Tuning on Machine Reading
ComprehensionAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2020 |
 Interactive Language Learning by Question AnsweringConference on Empirical Methods in Natural Language Processing (EMNLP), 2019 |
 Learning Credible Deep Neural Networks with Rationale RegularizationIndustrial Conference on Data Mining (IDM), 2019 |
