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What are the events involved in a pandemic outbreak? What steps should be taken when planning a wedding? The answers to these questions can be found by collecting many documents on the complex event of interest, extracting relevant information, and analyzing it.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel Ziegler, Jeffrey Wu, Clemens Winter, Chris Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 1901
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Introduction to the CoNLL-2002 shared task: Language-independent named entity recognition
Erik F. Tjong Kim Sang. 2002 · 2002
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Some challenges and grand challenges for computational intelligence
Edward A Feigenbaum. 2003 · 2003
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Annotating noun argument structure for NomBank
Adam Meyers, Ruth Reeves, Catherine Macleod, Rachel Szekely, Veronika Zielinska, Brian Young, and Ralph Grishman. 2004 · 2004
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Unsupervised learning of narrative event chains
Nathanael Chambers and Dan Jurafsky. 2008 · 2008
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The importance of syntactic parsing and inference in semantic role labeling
Vasin Punyakanok, Dan Roth, and Wen-tau Yih. 2008 · 2008
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Unsupervised learning of narrative schemas and their participants
Nathanael Chambers and Dan Jurafsky. 2009 · 2009
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Joint inference for event timeline construction
Quang Do, Wei Lu, and Dan Roth. 2012 · 2012
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Skip n-grams and ranking functions for predicting script events
Bram Jans, Steven Bethard, Ivan Vulić, and Marie Francine Moens. 2012 · 2012
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Joint entity and event coreference resolution across documents
Heeyoung Lee, Marta Recasens, Angel Chang, Mihai Surdeanu, and Dan Jurafsky. 2012 · 2012
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Automatic event extraction with structured preference modeling
Wei Lu and Dan Roth. 2012 · 2012
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Automatic sub-event detection in emergency management using social media
Daniela Pohl, Abdelhamid Bouchachia, and Hermann Hellwagner. 2012 · 2012
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CoNLL-2012 shared task: Modeling multilingual unrestricted coreference in OntoNotes
Sameer Pradhan, Alessandro Moschitti, Nianwen Xue, Olga Uryupina, and Yuchen Zhang. 2012 · 2012
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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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HiEve: A corpus for extracting event hierarchies from news stories
Goran Glavaš, Jan Šnajder, Marie-Francine Moens, and Parisa Kordjamshidi. 2014 · 2014
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Statistical script learning with multi-argument events
Karl Pichotta and Raymond Mooney. 2014 · 2014
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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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Script induction as language modeling
Rachel Rudinger, Pushpendre Rastogi, Francis Ferraro, and Benjamin Van Durme. 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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Ashutosh Modi. 2016 · 2016
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Two discourse driven language models for semantics
Haoruo Peng and Dan Roth. 2016 · 2016
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Event detection and co-reference with minimal supervision
Haoruo Peng, Yangqiu Song, and Dan Roth. 2016 · 2016
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Learning statistical scripts with lstm recurrent neural networks
Karl Pichotta and Raymond Mooney. 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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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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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 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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Causal inference of script knowledge
Noah Weber, Rachel Rudinger, and Benjamin Van Durme. 2020 · 2020
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Big bird: Transformers for longer sequences
Manzil Zaheer, Guru Guruganesh, Kumar Avinava Dubey, Joshua Ainslie, Chris Alberti, Santiago Ontanon, Philip Pham, Anirudh Ravula, Qifan Wang, Li Yang, et al. 2020 · 2020
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Analogous process structure induction for sub-event sequence prediction
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LORELEI language packs: Data, tools, and resources for technology development in low resource languages
Stephanie Strassel and Jennifer Tracey. 2016 · 2016
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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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Joint reasoning for temporal and causal relations
Qiang Ning, Zhili Feng, Hao Wu, and Dan Roth. 2018 · 2018
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Event representations with tensor-based compositions
Noah Weber, Niranjan Balasubramanian, and Nathanael Chambers. 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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Joint event and temporal relation extraction with shared representations and structured prediction
Rujun Han, Qiang Ning, and Nanyun Peng. 2019 · 2019
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Hongming Zhang, Muhao Chen, Haoyu Wang, Yangqiu Song, and Dan Roth. 2020a · 2020
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Reasoning about goals, steps, and temporal ordering with WikiHow
Li Zhang, Qing Lyu, and Chris Callison-Burch. 2020b · 2020
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Temporal common sense acquisition with minimal supervision
Ben Zhou, Qiang Ning, Daniel Khashabi, and Dan Roth. 2020 · 2020
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Large language models associate muslims with violence
Abubakar Abid, Maheen Farooqi, and James Zou. 2021 · 2021
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Constrained labeled data generation for low-resource named entity recognition
Ruohao Guo and Dan Roth. 2021 · 2021
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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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Learning constraints and descriptive segmentation for subevent detection
Haoyu Wang, Hongming Zhang, Muhao Chen, and Dan Roth. 2021 · 2021
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RESIN: A dockerized schema-guided cross-document cross-lingual cross-media information extraction and event tracking system
Haoyang Wen, Ying Lin, Tuan Lai, Xiaoman Pan, Sha Li, Xudong Lin, Ben Zhou, Manling Li, Haoyu Wang, Hongming Zhang, Xiaodong Yu, Alexander Dong, Zhenhailong Wang, Yi Fung, Piyush Mishra, Qing Lyu, Dídac Surís, Brian Chen, Susan Windisch Brown, Martha Palmer, Chris Callison-Burch, Carl Vondrick, Jiawei Han, Dan Roth, Shih-Fu Chang, and Heng Ji. 2021 · 2021
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Zero-shot Label-aware Event Trigger and Argument Classification
Hongming Zhang, Haoyu Wang, and Dan Roth. 2021a · 2021
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Learning to decompose and organize complex tasks
Yi Zhang, Sujay Kumar Jauhar, Julia Kiseleva, Ryen White, and Dan Roth. 2021b · 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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Mining logical event schemas from pre-trained language models
Lane Lawley and Lenhart Schubert. 2022 · 2022
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Selecting optimal context sentences for event-event relation extraction
Hieu Man Duc Trong, Nghia Ngo Trung, Linh Van Ngo, and Thien Huu Nguyen. 2022 · 2022
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Pairwise representation learning for event coreference
Xiaodong Yu, Wenpeng Yin, and Dan Roth. 2022 · 2022
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