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We propose the new problem of learning to recover reasoning chains from weakly supervised signals, i.e., the question-answer pairs.
Multi-step entity-centric information retrieval for multi-hop question answering
Ameya Godbole, Dilip Kavarthapu, Rajarshi Das, Zhiyu Gong, Abhishek Singhal, Hamed Zamani, Mo Yu, Tian Gao, Xiaoxiao Guo, Manzil Zaheer, et al. 2019 · 1909
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Multi-hop question answering via reasoning chains
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Do multi-hop readers dream of reasoning chains?
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Rethinking cooperative rationalization: Introspective extraction and complement control
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Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, and Caiming Xiong. 2019 · 1911
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Simple statistical gradient-following algorithms for connectionist reinforcement learning
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Rationalizing neural predictions
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Learning natural language inference with lstm
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Go for a walk and arrive at the answer: Reasoning over paths in knowledge bases using reinforcement learning
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Deep contextualized word representations
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R3: Reinforced ranker-reader for open-domain question answering
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Cognitive graph for multi-hop reading comprehension at scale
Ming Ding, Chang Zhou, Qibin Chen, Hongxia Yang, and Jie Tang. 2019 · 2019
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Exploiting explicit paths for multi-hop reading comprehension
Souvik Kundu, Tushar Khot, and Ashish Sabharwal. 2019 · 2019
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A discrete hard em approach for weakly supervised question answering
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2019 · 2019
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Revealing the importance of semantic retrieval for machine reading at scale
Yixin Nie, Songhe Wang, and Mohit Bansal. 2019 · 2019
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Finding generalizable evidence by learning to convince q&a models
Ethan Perez, Siddharth Karamcheti, Rob Fergus, Jason Weston, Douwe Kiela, and Kyunghyun Cho. 2019 · 2019
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Dynamically fused graph network for multi-hop reasoning
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Constructing datasets for multi-hop reading comprehension across documents
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HotpotQA: A dataset for diverse, explainable multi-hop question answering
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Question answering by reasoning across documents with graph convolutional networks
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Bert: Pre-training of deep bidirectional transformers for language understanding
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Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, and Yong Yu. 2019 · 2019
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DocRED: A large-scale document-level relation extraction dataset
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, and Maosong Sun. 2019 · 2019
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Biowordvec, improving biomedical word embeddings with subword information and mesh
Yijia Zhang, Qingyu Chen, Zhihao Yang, Hongfei Lin, and Zhiyong Lu. 2019 · 2019
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