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Procedural texts often describe processes (e.g., photosynthesis and cooking) that happen over entities (e.g., light, food).
Tracking discrete and continuous entity state for process understanding
Aditya Gupta and Greg Durrett · 1904
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Learning to automatically solve algebra word problems
Nate Kushman, Yoav Artzi, Luke Zettlemoyer, and Regina Barzilay · 2014
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Memory networks, 2014
Jason Weston, Sumit Chopra, and Antoine Bordes · 2014
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Towards ai-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M Rush, Bart van Merriënboer, Armand Joulin, and Tomas Mikolov · 2015
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Mawps: A math word problem repository
Rik Koncel-Kedziorski, Subhro Roy, Aida Amini, Nate Kushman, and Hannaneh Hajishirzi · 2016
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Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang · 2016
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Bidirectional attention flow for machine comprehension, 2016
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi · 2016
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Tracking the world state with recurrent entity networks
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Learning to solve arithmetic word problems with verb categorization
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Query-reduction networks for question answering
Min Joon Seo, Sewon Min, Ali Farhadi, and Hannaneh Hajishirzi · 2017
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Simulating action dynamics with neural process networks
Antoine Bosselut, Omer Levy, Ari Holtzman, Corin Ennis, Dieter Fox, and Yejin Choi · 2018
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The narrativeqa reading comprehension challenge
Tomáš Kočiskỳ, Jonathan Schwarz, Phil Blunsom, Chris Dyer, Karl Moritz Hermann, Gábor Melis, and Edward Grefenstette · 2018
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Mathqa: Towards interpretable math word problem solving with operation-based formalisms
Aida Amini, Saadia Gabriel, Peter Lin, Rik Koncel-Kedziorski, Yejin Choi, and Hannaneh Hajishirzi · 2019
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Building dynamic knowledge graphs from text using machine reading comprehension
Rajarshi Das, Tsendsuren Munkhdalai, Xingdi Yuan, Adam Trischler, and Andrew McCallum · 2019
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Effective use of transformer networks for entity tracking
Aditya Gupta and Greg Durrett · 2019
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Reasoning over paragraph effects in situations
Kevin Lin, Oyvind Tafjord, Peter Clark, and Matt Gardner · 2019
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Everything happens for a reason: Discovering the purpose of actions in procedural text
Bhavana Dalvi Mishra, Niket Tandon, Antoine Bosselut, Wen tau Yih, and Peter Clark · 2019
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Tracking state changes in procedural text: A challenge dataset and models for process paragraph comprehension
Bhavana Dalvi Mishra, Lifu Huang, Niket Tandon, Wen tau Yih, and Peter Clark · 2018
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Reasoning about actions and state changes by injecting commonsense knowledge
Niket Tandon, Bhavana Dalvi Mishra, Joel Grus, Wen tau Yih, Antoine Bosselut, and Peter Clark · 2018
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Huggingface’s transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R’emi Louf, Morgan Funtowicz, and Jamie Brew · 2019
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