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We focus on multiple-choice question answering (QA) tasks in subject areas such as science, where we require both broad background knowledge and the facts from the given subject-area reference corpus.
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Bhuwan Dhingra, Kathryn Mazaitis, and William W Cohen. 2017 · 2017
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Matthew Dunn, Levent Sagun, Mike Higgins, V Ugur Guney, Volkan Cirik, and Kyunghyun Cho. 2017 · 2017
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Mandar Joshi, Eunsol Choi, Daniel S. Weld, and Luke Zettlemoyer. 2017 · 2017
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Daniel Khashabi, Tushar Khot, Ashish Sabharwal, and Dan Roth. 2017 · 2017
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Tushar Khot, Ashish Sabharwal, and Peter Clark. 2017 · 2017
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Ryan Musa, Xiaoyan Wang, Achille Fokoue, Nicholas Mattei, Maria Chang, Pavan Kapanipathi, Bassem Makni, Kartik Talamadupula, and Michael Witbrock. 2018 · 2018
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What makes reading comprehension questions easier?
Saku Sugawara, Kentaro Inui, Satoshi Sekine, and Akiko Aizawa. 2018 · 2018
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Yuanfudao at SemEval-2018 Task 11: Three-way attention and relational knowledge for commonsense machine comprehension
Liang Wang, Meng Sun, Wei Zhao, Kewei Shen, and Jingming Liu. 2018a · 2018
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ConceptNet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
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Crowdsourcing multiple choice science questions
Johannes Welbl, Nelson F Liu, and Matt Gardner. 2017 · 2017
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Think you have solved question answering? Try ARC, the AI2 reasoning challenge
Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, and Oyvind Tafjord. 2018 · 2018
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Question answering as global reasoning over semantic abstractions
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, and Dan Roth. 2018 · 2018
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SciTail: A textual entailment dataset from science question answering
Tushar Khot, Ashish Sabharwal, and Peter Clark. 2018 · 2018
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Bernhard Kratzwald and Stefan Feuerriegel. 2018 · 2018
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Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, and Quoc V Le. 2018 · 2018
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Yuyu Zhang, Hanjun Dai, Kamil Toraman, and Le Song. 2018 · 2018
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