Fetching the paper…
Reading the bibliography…
Event understanding aims at understanding the content and relationship of events within texts, which covers multiple complicated information extraction tasks: event detection, event argument extraction, and event relation extraction.
Roberta: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
Earlier work this paper cites.
Entity-based cross-document coreferencing using the vector space model
Amit Bagga and Breck Baldwin. 1998 · 1998
Earlier work this paper cites.
Conditional random fields: Probabilistic models for segmenting and labeling sequence data
John D. Lafferty, Andrew McCallum, and Fernando C. N. Pereira. 2001 · 2001
Earlier work this paper cites.
ACE 2005 multilingual training corpus
Christopher Walker, Stephanie Strassel, Julie Medero, and Kazuaki Maeda. 2006 · 2005
Earlier work this paper cites.
Imagenet classification with deep convolutional neural networks
Alex Krizhevsky, Ilya Sutskever, and Geoffrey E. Hinton. 2012 · 2012
Earlier work this paper cites.
Dense event ordering with a multi-pass architecture
Nathanael Chambers, Taylor Cassidy, Bill McDowell, and Steven Bethard. 2014 · 2014
Earlier work this paper cites.
Overview of linguistic resources for the TAC KBP 2014 evaluations: Planning, execution, and results
Joe Ellis, Jeremy Getman, and Stephanie M Strassel. 2014 · 2014
Earlier work this paper cites.
HiEve: A corpus for extracting event hierarchies from news stories
Goran Glavaš, Jan Šnajder, Marie-Francine Moens, and Parisa Kordjamshidi. 2014 · 2014
Earlier work this paper cites.
Annotating causality in the TempEval-3 corpus
Paramita Mirza, Rachele Sprugnoli, Sara Tonelli, and Manuela Speranza. 2014 · 2014
Earlier work this paper cites.
Event extraction via dynamic multi-pooling convolutional neural networks
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, and Jun Zhao. 2015 · 2015
Earlier work this paper cites.
Deep learning for event-driven stock prediction
Xiao Ding, Yue Zhang, Ting Liu, and Junwen Duan. 2015 · 2015
Earlier work this paper cites.
Overview of linguistic resources for the TAC KBP 2015 evaluations: Methodologies and results
Joe Ellis, Jeremy Getman, Dana Fore, Neil Kuster, Zhiyi Song, Ann Bies, and Stephanie M Strassel. 2015 · 2015
Earlier work this paper cites.
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
Earlier work this paper cites.
Overview of Linguistic Resources for the TAC KBP 2016 Evaluations: Methodologies and Results
Joe Ellis, Jeremy Getman, Dana Fore, Neil Kuster, Zhiyi Song, Ann Bies, and Stephanie M Strassel. 2016 · 2016
Earlier work this paper cites.
Newsreader: Using knowledge resources in a cross-lingual reading machine to generate more knowledge from massive streams of news
Piek Vossen, Rodrigo Agerri, Itziar Aldabe, Agata Cybulska, Marieke van Erp, Antske Fokkens, Egoitz Laparra, Anne-Lyse Minard, Alessio Palmero Aprosio, German Rigau, Marco Rospocher, and Roxane Segers. 2016 · 2016
Earlier work this paper cites.
The event StoryLine corpus: A new benchmark for causal and temporal relation extraction
Tommaso Caselli and Piek Vossen. 2017 · 2017
Earlier work this paper cites.
Overview of linguistic resources for the tac kbp 2017 evaluations: Methodologies and results
Jeremy Getman, Joe Ellis, Zhiyi Song, Jennifer Tracey, and Stephanie Strassel. 2017 · 2017
Earlier work this paper cites.
BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Joint event and temporal relation extraction with shared representations and structured prediction
Rujun Han, Qiang Ning, and Nanyun Peng. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al. 2019 · 2019
Cited alongside, same era.
Energy and policy considerations for deep learning in NLP
Emma Strubell, Ananya Ganesh, and Andrew McCallum. 2019 · 2019
Cited alongside, same era.
Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi. 2019 · 2019
Cited alongside, same era.
Adversarial Training for Weakly Supervised Event Detection
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
Later among the works it cites.
Eventplus: A temporal event understanding pipeline
Mingyu Derek Ma, Jiao Sun, Mu Yang, Kung-Hsiang Huang, Nuan Wen, Shikhar Singh, Rujun Han, and Nanyun Peng. 2021 · 2021
Later among the works it cites.
Cross-task instance representation interactions and label dependencies for joint information extraction with graph convolutional networks
Minh Van Nguyen, Viet Dac Lai, and Thien Huu Nguyen. 2021 · 2021
Later among the works it cites.
Incorporating circumstances into narrative event prediction
Shichao Wang, Xiangrui Cai, Hongbin Wang, and Xiaojie Yuan. 2021a · 2021
Later among the works it cites.
mt5: A massively multilingual pre-trained text-to-text transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, and Peng Li. 2019 · 2019
Cited alongside, same era.
Adverse drug event detection from electronic health records using hierarchical recurrent neural networks with dual-level embedding
Susmitha Wunnava, Xiao Qin, Tabassum Kakar, Cansu Sen, Elke A Rundensteiner, and Xiangnan Kong. 2019 · 2019
Cited alongside, same era.
Event extraction by answering (almost) natural questions
Xinya Du and Claire Cardie. 2020 · 2020
Cited alongside, same era.
Multi-sentence argument linking
Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, and Benjamin Van Durme. 2020 · 2020
Cited alongside, same era.
Duee: a large-scale dataset for chinese event extraction in real-world scenarios
Xinyu Li, Fayuan Li, Lu Pan, Yuguang Chen, Weihua Peng, Quan Wang, Yajuan Lyu, and Yong Zhu. 2020 · 2020
Cited alongside, same era.
A joint neural model for information extraction with global features
Ying Lin, Heng Ji, Fei Huang, and Lingfei Wu. 2020 · 2020
Cited alongside, same era.
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
Cited alongside, same era.
What the role is vs. what plays the role: Semi-supervised event argument extraction via dual question answering
Yang Zhou, Yubo Chen, Jun Zhao, Yin Wu, Jiexin Xu, and Jinlong Li. 2021 · 2021
Later among the works it cites.
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, et al. 2022 · 2022
Later among the works it cites.
Prompt for extraction? paie: Prompting argument interaction for event argument extraction
Yubo Ma, Zehao Wang, Yixin Cao, Mukai Li, Meiqi Chen, Kun Wang, and Jing Shao. 2022 · 2022
Later among the works it cites.
Maven-ere: A unified large-scale dataset for event coreference, temporal, causal, and subevent relation extraction
Xiaozhi Wang, Yulin Chen, Ning Ding, Hao Peng, Zimu Wang, Yankai Lin, Xu Han, Lei Hou, Juanzi Li, Zhiyuan Liu, et al. 2022 · 2022
Later among the works it cites.
Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Y. Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, and Quoc V. Le. 2022 · 2022
Later among the works it cites.
LEVEN: A large-scale chinese legal event detection dataset
Feng Yao, Chaojun Xiao, Xiaozhi Wang, Zhiyuan Liu, Lei Hou, Cunchao Tu, Juanzi Li, Yun Liu, Weixing Shen, and Maosong Sun. 2022 · 2022
Later among the works it cites.
Deepke: A deep learning based knowledge extraction toolkit for knowledge base population
Ningyu Zhang, Xin Xu, Liankuan Tao, Haiyang Yu, Hongbin Ye, Shuofei Qiao, Xin Xie, Xiang Chen, Zhoubo Li, and Lei Li. 2022 · 2022
Later among the works it cites.
More than classification: A unified framework for event temporal relation extraction
Quzhe Huang, Yutong Hu, Shengqi Zhu, Yansong Feng, Chang Liu, and Dongyan Zhao. 2023 · 2023
Closest in time.
The devil is in the details: On the pitfalls of event extraction evaluation
Hao Peng, Xiaozhi Wang, Feng Yao, Kaisheng Zeng, Lei Hou, Juanzi Li, Zhiyuan Liu, and Weixing Shen. 2023 · 2023
Closest in time.
UL2: unifying language learning paradigms
Yi Tay, Mostafa Dehghani, Vinh Q. Tran, Xavier Garcia, Jason Wei, Xuezhi Wang, Hyung Won Chung, Dara Bahri, Tal Schuster, Huaixiu Steven Zheng, Denny Zhou, Neil Houlsby, and Donald Metzler. 2023 · 2023
Closest in time.
Zero-and few-shot event detection via prompt-based meta learning
Zhenrui Yue, Huimin Zeng, Mengfei Lan, Heng Ji, and Dong Wang. 2023 · 2023
Closest in time.