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Open domain question answering (OpenQA) tasks have been recently attracting more and more attention from the natural language processing (NLP) community.
Multi-step Retriever-Reader Interaction for Scalable Open-domain Question Answering
Das, R.; Dhuliawala, S.; Zaheer, M.; and McCallum, A. 2019 · 1905
Earlier work this paper cites.
Pre-Training with Whole Word Masking for Chinese BERT
Cui, Y.; Che, W.; Liu, T.; Qin, B.; Yang, Z.; Wang, S.; and Hu, G. 2019 · 1906
Earlier work this paper cites.
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Liu, Y.; Ott, M.; Goyal, N.; Du, J.; Joshi, M.; Chen, D.; Levy, O.; Lewis, M.; Zettlemoyer, L.; and Stoyanov, V. 2019 · 1907
Earlier work this paper cites.
Publicly Available Clinical BERT Embeddings
Alsentzer, E.; Murphy, J.; Boag, W.; Weng, W.-H.; Jin, D.; Naumann, T.; and McDermott, M. 2019 · 1909
Earlier work this paper cites.
Albert: A lite bert for self-supervised learning of language representations
Lan, Z.; Chen, M.; Goodman, S.; Gimpel, K.; Sharma, P.; and Soricut, R. 2019 · 1909
Earlier work this paper cites.
MMM: Multi-stage Multi-task Learning for Multi-choice Reading Comprehension
Jin, D.; Gao, S.; Kao, J.-Y.; Chung, T.; and Hakkani-Tür, D. Z. 2019 · 1910
Earlier work this paper cites.
Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering
Asai, A.; Hashimoto, K.; Hajishirzi, H.; Socher, R.; and Xiong, C. 2020 · 1911
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oLMpics - On what Language Model Pre-training Captures
Talmor, A.; Elazar, Y.; Goldberg, Y.; and Berant, J. 2019 · 1912
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ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning
Yu, W.; Jiang, Z.-H.; Dong, Y.; and Feng, J. 2020 · 2002
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Distributional semantics resources for biomedical text processing
Moen, S.; and Ananiadou, T. S. S. 2013 · 2013
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Combining retrieval, statistics, and inference to answer elementary science questions
Clark, P.; Etzioni, O.; Khot, T.; Sabharwal, A.; Tafjord, O.; Turney, P.; and Khashabi, D. 2016 · 2016
Earlier work this paper cites.
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Rajpurkar, P.; Zhang, J.; Lopyrev, K.; and Liang, P. 2016 · 2016
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Overview of the Medical Question Answering Task at TREC 2017 LiveQA
Abacha, A. B.; Agichtein, E.; Pinter, Y.; and Demner-Fushman, D. 2017 · 2017
Earlier work this paper cites.
Enriching Word Vectors with Subword Information
Bojanowski, P.; Grave, E.; Joulin, A.; and Mikolov, T. 2017 · 2017
Earlier work this paper cites.
Reading Wikipedia to Answer Open-Domain Questions
Chen, D.; Fisch, A.; Weston, J.; and Bordes, A. 2017 · 2017
Cited alongside, same era.
Quasar: Datasets for Question Answering by Search and Reading
Dhingra, B.; Mazaitis, K.; and Cohen, W. W. 2017 · 2017
Cited alongside, same era.
SearchQA: A New QA Dataset Augmented with Context from a Search Engine
Dunn, M.; Sagun, L.; Higgins, M.; Güney, V. U.; Cirik, V.; and Cho, K. 2017 · 2017
Cited alongside, same era.
TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension
Joshi, M.; Choi, E.; Weld, D.; and Zettlemoyer, L. 2017 · 2017
Cited alongside, same era.
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Lai, G.; Xie, Q.; Liu, H.; Yang, Y.; and Hovy, E. 2017 · 2017
Cited alongside, same era.
Bridging the Gap Between Consumers’ Medication Questions and Trusted Answers
Abacha, A. B.; Mrabet, Y.; Sharp, M.; Goodwin, T. R.; Shooshan, S. E.; and Demner-Fushman, D. 2019 · 2019
Later among the works it cites.
Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering
Ben Abacha, A.; Shivade, C.; and Demner-Fushman, D. 2019 · 2019
Later among the works it cites.
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
Later among the works it cites.
Automatic Question Answering for Medical MCQs: Can It go Further than Information Retrieval?
Ha, L. A.; and Yaneva, V. 2019 · 2019
Later among the works it cites.
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
Lee, J.; Yoon, W.; Kim, S.; Kim, D.; Kim, S.; So, C. H.; and Kang, J. 2019 · 2019
Later among the works it cites.
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Simple and Effective Multi-Paragraph Reading Comprehension
Clark, C.; and Gardner, M. 2018 · 2018
Cited alongside, same era.
Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge
Clark, P.; Cowhey, I.; Etzioni, O.; Khot, T.; Sabharwal, A.; Schoenick, C.; and Tafjord, O. 2018 · 2018
Cited alongside, same era.
Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering
Mihaylov, T.; Clark, P.; Khot, T.; and Sabharwal, A. 2018 · 2018
Cited alongside, same era.
emrQA: A Large Corpus for Question Answering on Electronic Medical Records
Pampari, A.; Raghavan, P.; Liang, J.; and Peng, J. 2018 · 2018
Cited alongside, same era.
Know What You Don’t Know: Unanswerable Questions for SQuAD
Rajpurkar, P.; Jia, R.; and Liang, P. 2018 · 2018
Cited alongside, same era.
R3: Reinforced Ranker-Reader for Open-Domain Question Answering
Wang, S.; Yu, M.; Guo, X.; Wang, Z.; Klinger, T.; Zhang, W.; Chang, S.; Tesauro, G.; Zhou, B.; and Jiang, J. 2018 · 2018
Cited alongside, same era.
HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering
Yang, Z.; Qi, P.; Zhang, S.; Bengio, Y.; Cohen, W.; Salakhutdinov, R.; and Manning, C. D. 2018 · 2018
Cited alongside, same era.
Language Models as Knowledge Bases?
Petroni, F.; Rocktäschel, T.; Lewis, P.; Bakhtin, A.; Wu, Y.; Miller, A. H.; and Riedel, S. 2019 · 2019
Later among the works it cites.
Coqa: A conversational question answering challenge
Reddy, S.; Chen, D.; and Manning, C. D. 2019 · 2019
Later among the works it cites.
Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension
Sun, K.; Yu, D.; Yu, D.; and Cardie, C. 2019 · 2019
Later among the works it cites.
Multi-passage BERT: A Globally Normalized BERT Model for Open-domain Question Answering
Wang, Z.; Ng, P.; Ma, X.; Nallapati, R.; and Xiang, B. 2019 · 2019
Later among the works it cites.
Consumer health information and question answering: helping consumers find answers to their health-related information needs
Demner-Fushman, D.; Mrabet, Y.; and Ben Abacha, A. 2020 · 2020
Closest in time.
From Machine Reading Comprehension to Dialogue State Tracking: Bridging the Gap
Gao, S.; Agarwal, S.; Jin, D.; Chung, T.; and Hakkani-Tur, D. 2020 · 2020
Closest in time.
Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks
Gururangan, S.; Marasović, A.; Swayamdipta, S.; Lo, K.; Beltagy, I.; Downey, D.; and Smith, N. A. 2020 · 2020
Closest in time.
Overview of BioASQ 2020: The Eighth BioASQ Challenge on Large-Scale Biomedical Semantic Indexing and Question Answering
Nentidis, A.; Krithara, A.; Bougiatiotis, K.; Krallinger, M.; Rodriguez-Penagos, C.; Villegas, M.; and Paliouras, G. 2020 · 2020
Closest in time.
Multi-source Meta Transfer for Low Resource Multiple-Choice Question Answering
Yan, M.; Zhang, H.; Jin, D.; and Zhou, J. T. 2020 · 2020
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