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Complex reasoning over text requires understanding and chaining together free-form predicates and logical connectives.
Xlnet: Generalized autoregressive pretraining for language understanding
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Constructing datasets for multi-hop reading comprehension across documents
Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
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Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov, and Christopher D Manning. 2018 · 2018
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Are we modeling the task or the annotator? an investigation of annotator bias in natural language understanding datasets
Mor Geva, Yoav Goldberg, and Jonathan Berant. 2019 · 2019
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Self-assembling modular networks for interpretable multi-hop reasoning
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Explore, propose, and assemble: An interpretable model for multi-hop reading comprehension
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Reasoning over paragraph effects in situations
Kevin Lin, Oyvind Tafjord, Peter Clark, and Matt Gardner. 2019 · 2019
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Multi-hop reading comprehension through question decomposition and rescoring
Sewon Min, Victor Zhong, Luke Zettlemoyer, and Hannaneh Hajishirzi. 2019 · 2019
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Learning to retrieve reasoning paths over wikipedia graph for question answering
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Transformer-XL: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, Jaime Carbonell, Quoc Le, and Ruslan Salakhutdinov. 2019 · 2019
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Multi-hop paragraph retrieval for open-domain question answering
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Neural module networks
Jacob Andreas, Marcus Rohrbach, Trevor Darrell, and Dan Klein. 2016b
Cited in the paper.
Henry Tsai, Jason Riesa, Melvin Johnson, Naveen Arivazhagan, Xin Li, and Amelia Archer. 2019 · 2019
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Multi-hop reading comprehension across multiple documents by reasoning over heterogeneous graphs
Ming Tu, Guangtao Wang, Jing Huang, Yun Tang, Xiaodong He, and Bowen Zhou. 2019 · 2019
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AMR parsing as sequence-to-graph transduction
Sheng Zhang, Xutai Ma, Kevin Duh, and Benjamin Van Durme. 2019 · 2019
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Token-level dynamic self-attention network for multi-passage reading comprehension
Yimeng Zhuang and Huadong Wang. 2019 · 2019
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Neural module networks for reasoning over text
Nitish Gupta, Kevin Lin, Dan Roth, Sameer Singh, and Matt Gardner. 2020 · 2020
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