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Detecting commonsense causal relations (causation) between events has long been an essential yet challenging task.
Joint reasoning for temporal and causal relations
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Causal relation extraction using cue phrase and lexical pair probabilities
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Rejoinder: response to sobel
James J Heckman. 2005 · 2005
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Text and causal inference: A review of using text to remove confounding from causal estimates
Katherine A Keith, David Jensen, and Brendan O’Connor. 2020 · 2005
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Donald B Rubin. 2005 · 2005
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Nathanael Chambers and Dan Jurafsky. 2008 · 2008
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Minimally supervised event causality identification
Quang Do, Yee Seng Chan, and Dan Roth. 2011 · 2011
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Semeval-2012 task 7: Choice of plausible alternatives: An evaluation of commonsense causal reasoning
Andrew Gordon, Zornitsa Kozareva, and Melissa Roemmele. 2012 · 2012
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Annotating causality in the tempeval-3 corpus
Paramita Mirza, Rachele Sprugnoli, Sara Tonelli, and Manuela Speranza. 2014 · 2014
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Causal inference in statistics, social, and biomedical sciences
Guido W Imbens and Donald B Rubin. 2015 · 2015
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What happens next? event prediction using a compositional neural network model
Mark Granroth-Wilding and Stephen Clark. 2016 · 2016
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A corpus and cloze evaluation for deeper understanding of commonsense stories
Nasrin Mostafazadeh, Nathanael Chambers, Xiaodong He, Devi Parikh, Dhruv Batra, Lucy Vanderwende, Pushmeet Kohli, and James Allen. 2016 · 2016
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Detecting and explaining causes from text for a time series event
Dongyeop Kang, Varun Gangal, Ang Lu, Zheng Chen, and Eduard Hovy. 2017 · 2017
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Allennlp: A deep semantic natural language processing platform
Matt Gardner, Joel Grus, Mark Neumann, Oyvind Tafjord, Pradeep Dasigi, Nelson F Liu, Matthew Peters, Michael Schmitz, and Luke Zettlemoyer. 2018 · 2018
Commonsense reasoning for natural language processing
Maarten Sap, Vered Shwartz, Antoine Bosselut, Yejin Choi, and Dan Roth. 2020 · 2020
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Pre-training is (almost) all you need: An application to commonsense reasoning
Alexandre Tamborrino, Nicola Pellicanò, Baptiste Pannier, Pascal Voitot, and Louise Naudin. 2020 · 2020
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Joint constrained learning for event-event relation extraction
Haoyu Wang, Muhao Chen, Hongming Zhang, and Dan Roth. 2020 · 2020
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Analogous process structure induction for sub-event sequence prediction
Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, and Dan Roth. 2020a · 2020
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Aser: A large-scale eventuality knowledge graph
Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, and Cane Wing-Ki Leung. 2020b · 2020
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Automatic story generation: Challenges and attempts
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Zero-shot transfer learning for event extraction
Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, and Clare Voss. 2018 · 2018
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A multi-axis annotation scheme for event temporal relations
Qiang Ning, Hao Wu, and Dan Roth. 2018 · 2018
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Event2mind: Commonsense inference on events, intents, and reactions
Hannah Rashkin, Maarten Sap, Emily Allaway, Noah A Smith, and Yejin Choi. 2018 · 2018
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Texygen: A benchmarking platform for text generation models
Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, and Yong Yu. 2018 · 2018
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Abductive commonsense reasoning
Chandra Bhagavatula, Ronan Le Bras, Chaitanya Malaviya, Keisuke Sakaguchi, Ari Holtzman, Hannah Rashkin, Doug Downey, Wen-tau Yih, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
When choosing plausible alternatives, clever hans can be clever
Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert, and Kentaro Inui. 2019 · 2019
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Counterfactual story reasoning and generation
Lianhui Qin, Antoine Bosselut, Ari Holtzman, Chandra Bhagavatula, Elizabeth Clark, and Yejin Choi. 2019 · 2019
Cited alongside, same era.
Amal Alabdulkarim, Siyan Li, and Xiangyu Peng. 2021 · 2021
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Event-centric natural language processing
Muhao Chen, Hongming Zhang, Qiang Ning, Manling Li, Heng Ji, Kathleen McKeown, and Dan Roth. 2021 · 2021
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Cider: Commonsense inference for dialogue explanation and reasoning
Deepanway Ghosal, Pengfei Hong, Siqi Shen, Navonil Majumder, Rada Mihalcea, and Soujanya Poria. 2021 · 2021
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Doing good or doing right? exploring the weakness of commonsense causal reasoning models
Mingyue Han and Yinglin Wang. 2021 · 2021
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Improving commonsense causal reasoning by adversarial training and data augmentation
Ieva Staliūnaitė, Philip John Gorinski, and Ignacio Iacobacci. 2021 · 2021
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GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model
Ben Wang and Aran Komatsuzaki. 2021 · 2021
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Polyjuice: Generating counterfactuals for explaining, evaluating, and improving models
Tongshuang Wu, Marco Tulio Ribeiro, Jeffrey Heer, and Daniel S Weld. 2021 · 2021
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Some reflections on drawing causal inference using textual data: Parallels between human subjects and organized texts
Bo Zhang and Jiayao Zhang. 2021 · 2021
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Temporal reasoning on implicit events from distant supervision
Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, and Dan Roth. 2021 · 2021
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Causal inference in natural language processing: Estimation, prediction, interpretation and beyond
Amir Feder, Katherine A Keith, Emaad Manzoor, Reid Pryzant, Dhanya Sridhar, Zach Wood-Doughty, Jacob Eisenstein, Justin Grimmer, Roi Reichart, Margaret E Roberts, et al. 2022 · 2022
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Towards assessing agricultural land suitability with causal machine learning
Georgios Giannarakis, Vasileios Sitokonstantinou, Roxanne Suzette Lorilla, and Charalampos Kontoes. 2022 · 2022
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Probing script knowledge from pre-trained models
Zijian Jin, Xingyu Zhang, Mo Yu, and Lifu Huang. 2022 · 2022
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Training language models to follow instructions with human feedback
Long Ouyang, Jeff Wu, Xu Jiang, Diogo Almeida, Carroll L Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
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SubeventWriter: Iterative sub-event sequence generation with coherence controller
Zhaowei Wang, Hongming Zhang, Tianqing Fang, Yangqiu Song, Ginny Wong, and Simon See. 2022b · 2022
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Efficient zero-shot event extraction with context-definition alignment
Hongming Zhang, Wenlin Yao, and Dong Yu. 2022b · 2022
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Distilling causal effect from miscellaneous other-class for continual named entity recognition
Junhao Zheng, Zhanxian Liang, Haibin Chen, and Qianli Ma. 2022 · 2022
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Global constraints with prompting for zero-shot event argument classification
Zizheng Lin, Hongming Zhang, and Yangqiu Song. 2023 · 2023
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An analysis of causality between events and its relation to temporal information
Paramita Mirza and Sara Tonelli. 2014 · 2097
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