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This paper addresses the challenge of learning to do procedural reasoning over text to answer "What if..." questions.
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Tracking state changes in procedural text: a challenge dataset and models for process paragraph comprehension
Bhavana Dalvi, Lifu Huang, Niket Tandon, Wen tau Yih, and P. Clark · 2018
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Know what you don’t know: Unanswerable questions for SQuAD
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Reasoning about actions and state changes by injecting commonsense knowledge
Niket Tandon, Bhavana Dalvi, Joel Grus, Wen-tau Yih, Antoine Bosselut, and Peter Clark · 2018
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Scalable multi-hop relational reasoning for knowledge-aware question answering
Yanlin Feng, Xinyue Chen, Bill Yuchen Lin, Peifeng Wang, Jun Yan, and Xiang Ren · 2020
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Eigen: Event influence generation using pre-trained language models
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What-if I ask you to explain: Explaining the effects of perturbations in procedural text
Dheeraj Rajagopal, Niket Tandon, Peter Clark, Bhavana Dalvi, and Eduard Hovy · 2020
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SRLGRN: Semantic role labeling graph reasoning network
Chen Zheng and Parisa Kordjamshidi · 2020
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Cross-modality relevance for reasoning on language and vision
Chen Zheng, Quan Guo, and Parisa Kordjamshidi · 2020
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WIQA: A dataset for “what if…” reasoning over procedural text
Niket Tandon, Bhavana Dalvi, Keisuke Sakaguchi, Peter Clark, and Antoine Bosselut · 2019
Cited alongside, same era.
Logic-guided data augmentation and regularization for consistent question answering
Akari Asai and Hannaneh Hajishirzi · 2020
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Rem-net: Recursive erasure memory network for commonsense evidence refinement
Yinya Huang, Meng Fang, Xunlin Zhan, Qingxing Cao, Xiaodan Liang, and Liang Lin · 2021
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