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Event schema provides a conceptual, structural and formal language to represent events and model the world event knowledge.
Comparing partitions
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Unsupervised learning of narrative event chains
Nathanael Chambers and Dan Jurafsky. 2008 · 2008
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Unsupervised learning of narrative schemas and their participants
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Template-based information extraction without the templates
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Narrative schema as world knowledge for coreference resolution
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Knowledge base population: Successful approaches and challenges
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Event schema induction with a probabilistic entity-driven model
Nathanael Chambers. 2013 · 2013
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Probabilistic frame induction
Jackie Chi Kit Cheung, Hoifung Poon, and Lucy Vanderwende. 2013 · 2013
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Statistical script learning with multi-argument events
Karl Pichotta and Raymond Mooney. 2014 · 2014
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Wikiextractor
Giusepppe Attardi. 2015 · 2015
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Generative event schema induction with entity disambiguation
Kiem-Hieu Nguyen, Xavier Tannier, Olivier Ferret, and Romaric Besançon. 2015 · 2015
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From light to rich ERE: Annotation of entities, relations, and events
Zhiyi Song, Ann Bies, Stephanie Strassel, Tom Riese, Justin Mott, Joe Ellis, Jonathan Wright, Seth Kulick, Neville Ryant, and Xiaoyi Ma. 2015 · 2015
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A joint neural model for information extraction with global features
Ying Lin, Heng Ji, Fei Huang, and Lingfei Wu. 2020 · 2020
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oLMpics-on what language model pre-training captures
Alon Talmor, Yanai Elazar, Yoav Goldberg, and Jonathan Berant. 2020 · 2020
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BLiMP: The benchmark of linguistic minimal pairs for English
Alex Warstadt, Alicia Parrish, Haokun Liu, Anhad Mohananey, Wei Peng, Sheng-Fu Wang, and Samuel R. Bowman. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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Transomcs: From linguistic graphs to commonsense knowledge
Hongming Zhang, Daniel Khashabi, Yangqiu Song, and Dan Roth. 2020 · 2020
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Liberal event extraction and event schema induction
Lifu Huang, Taylor Cassidy, Xiaocheng Feng, Heng Ji, Clare R. Voss, Jiawei Han, and Avirup Sil. 2016 · 2016
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Joint learning templates and slots for event schema induction
Lei Sha, Sujian Li, Baobao Chang, and Zhifang Sui. 2016 · 2016
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Inducing event types and roles in reverse: Using function to discover theme
Natalie Ahn. 2017 · 2017
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Unsupervised semantic frame induction using triclustering
Dmitry Ustalov, Alexander Panchenko, Andrey Kutuzov, Chris Biemann, and Simone Paolo Ponzetto. 2018 · 2018
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Open-schema event profiling for massive news corpora
Quan Yuan, Xiang Ren, Wenqi He, Chao Zhang, Xinhe Geng, Lifu Huang, Heng Ji, Chin-Yew Lin, and Jiawei Han. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
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Evaluating commonsense in pre-trained language models
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The future is not one-dimensional: Complex event schema induction by graph modeling for event prediction
Manling Li, Sha Li, Zhenhailong Wang, Lifu Huang, Kyunghyun Cho, Heng Ji, Jiawei Han, and Clare Voss. 2021 · 2021
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Text2Event: Controllable sequence-to-structure generation for end-to-end event extraction
Yaojie Lu, Hongyu Lin, Jin Xu, Xianpei Han, Jialong Tang, Annan Li, Le Sun, Meng Liao, and Shaoyi Chen. 2021 · 2021
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Corpus-based open-domain event type induction
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RESIN-11: Schema-guided event prediction for 11 newsworthy scenarios
Xinya Du, Zixuan Zhang, Sha Li, Pengfei Yu, Hongwei Wang, Tuan Lai, Xudong Lin, Ziqi Wang, Iris Liu, Ben Zhou, Haoyang Wen, Manling Li, Darryl Hannan, Jie Lei, Hyounghun Kim, Rotem Dror, Haoyu Wang, Michael Regan, Qi Zeng, Qing Lyu, Charles Yu, Carl Edwards, Xiaomeng Jin, Yizhu Jiao, Ghazaleh Kazeminejad, Zhenhailong Wang, Chris Callison-Burch, Mohit Bansal, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, Martha Palmer, and Heng Ji. 2022 · 2022
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Acquiring and modelling abstract commonsense knowledge via conceptualization
Mutian He, Tianqing Fang, Weiqi Wang, and Yangqiu Song. 2022 · 2022
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Open relation and event type discovery with type abstraction
Sha Li, Heng Ji, and Jiawei Han. 2022a · 2022
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Unified structure generation for universal information extraction
Yaojie Lu, Qing Liu, Dai Dai, Xinyan Xiao, Hongyu Lin, Xianpei Han, Le Sun, and Hua Wu. 2022 · 2022
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What language model to train if you have one million gpu hours?
Teven Le Scao, Thomas Wang, Daniel Hesslow, Lucile Saulnier, Stas Bekman, M Saiful Bari, Stella Bideman, Hady Elsahar, Niklas Muennighoff, Jason Phang, et al. 2022 · 2022
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Chain of thought prompting elicits reasoning in large language models
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Symbolic knowledge distillation: from general language models to commonsense models
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Connecting the dots between audio and text without parallel data through visual knowledge transfer
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