Fetching the paper…
Reading the bibliography…
Event extraction requires high-quality expert human annotations, which are usually expensive.
The automatic content extraction (ACE) program - tasks, data, and evaluation
George R. Doddington, Alexis Mitchell, Mark A. Przybocki, Lance A. Ramshaw, Stephanie M. Strassel, and Ralph M. Weischedel. 2004 · 2004
Earlier work this paper cites.
The stages of event extraction
David Ahn. 2006 · 2006
Earlier work this paper cites.
Refining event extraction through cross-document inference
Heng Ji and Ralph Grishman. 2008 · 2008
Earlier work this paper cites.
Joint event extraction via structured prediction with global features
Qi Li, Heng Ji, and Liang Huang. 2013 · 2013
Earlier work this paper cites.
Modeling biological processes for reading comprehension
Jonathan Berant, Vivek Srikumar, Pei-Chun Chen, Abby Vander Linden, Brittany Harding, Brad Huang, Peter Clark, and Christopher D. Manning. 2014 · 2014
Earlier work this paper cites.
Event detection and domain adaptation with convolutional neural networks
Thien Huu Nguyen and Ralph Grishman. 2015 · 2015
Earlier work this paper cites.
From light to rich ERE: annotation of entities, relations, and events
Zhiyi Song, Ann Bies, Stephanie M. Strassel, Tom Riese, Justin Mott, Joe Ellis, Jonathan Wright, Seth Kulick, Neville Ryant, and Xiaoyi Ma. 2015 · 2015
Earlier work this paper cites.
A survey of event extraction methods from text for decision support systems
Frederik Hogenboom, Flavius Frasincar, Uzay Kaymak, Franciska de Jong, and Emiel Caron. 2016 · 2016
Earlier work this paper cites.
Joint event extraction via recurrent neural networks
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman. 2016 · 2016
Earlier work this paper cites.
Joint extraction of events and entities within a document context
Bishan Yang and Tom M. Mitchell. 2016 · 2016
Earlier work this paper cites.
Jointly extracting event triggers and arguments by dependency-bridge RNN and tensor-based argument interaction
Lei Sha, Feng Qian, Baobao Chang, and Zhifang Sui. 2018 · 2018
Earlier work this paper cites.
Deep structured neural network for event temporal relation extraction
Rujun Han, I-Hung Hsu, Mu Yang, Aram Galstyan, Ralph M. Weischedel, and Nanyun Peng. 2019a · 2019
Earlier work this paper cites.
Joint event and temporal relation extraction with shared representations and structured prediction
Rujun Han, Qiang Ning, and Nanyun Peng. 2019b · 2019
Earlier work this paper cites.
Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
Cited alongside, same era.
One for all: Neural joint modeling of entities and events
Trung Minh Nguyen and Thien Huu Nguyen. 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.
HMEAE: hierarchical modular event argument extraction
Xiaozhi Wang, Ziqi Wang, Xu Han, Zhiyuan Liu, Juanzi Li, Peng Li, Maosong Sun, Jie Zhou, and Xiang Ren. 2019 · 2019
Cited alongside, same era.
Exploring pre-trained language models for event extraction and generation
Sen Yang, Dawei Feng, Linbo Qiao, Zhigang Kan, and Dongsheng Li. 2019a · 2019
Cited alongside, same era.
Meta-learning with dynamic-memory-based prototypical network for few-shot event detection
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, 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
Later among the works it cites.
ASER: A large-scale eventuality knowledge graph
Hongming Zhang, Xin Liu, Haojie Pan, Yangqiu Song, and Cane Wing-Ki Leung. 2020 · 2020
Later among the works it cites.
Few-shot event detection with prototypical amortized conditional random field
Xin Cong, Shiyao Cui, Bowen Yu, Tingwen Liu, Yubin Wang, and Bin Wang. 2021 · 2021
Closest in time.
Language model priming for cross-lingual event extraction
Steven Fincke, Shantanu Agarwal, Scott Miller, and Elizabeth Boschee. 2021 · 2021
Closest in time.
ESTER: A machine reading comprehension dataset for reasoning about event semantic relations
Rujun Han, I-Hung Hsu, Jiao Sun, Julia Baylon, Qiang Ning, Dan Roth, and Nanyun Peng. 2021 · 2021
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, and Huajun Chen. 2020 · 2020
Cited alongside, same era.
Event extraction by answering (almost) natural questions
Xinya Du and Claire Cardie. 2020 · 2020
Cited alongside, same era.
Biomedical event extraction with hierarchical knowledge graphs
Kung-Hsiang Huang, Mu Yang, and Nanyun Peng. 2020 · 2020
Cited alongside, same era.
BART: denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
Event extraction as multi-turn question answering
Fayuan Li, Weihua Peng, Yuguang Chen, Quan Wang, Lu Pan, 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.
Event extraction as machine reading comprehension
Jian Liu, Yubo Chen, Kang Liu, Wei Bi, and Xiaojiang Liu. 2020 · 2020
Cited alongside, same era.
Closest in time.
Document-level event extraction with efficient end-to-end learning of cross-event dependencies
Kung-Hsiang Huang and Nanyun Peng. 2021 · 2021
Closest in time.
Document-level entity-based extraction as template generation
Kung-Hsiang Huang, Sam Tang, and Nanyun Peng. 2021 · 2021
Closest in time.
Document-level event argument extraction by conditional generation
Sha Li, Heng Ji, and Jiawei Han. 2021 · 2021
Closest in time.
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
Closest in time.
Structured prediction as translation between augmented natural languages
Giovanni Paolini, Ben Athiwaratkun, Jason Krone, Jie Ma, Alessandro Achille, Rishita Anubhai, Cícero Nogueira dos Santos, Bing Xiang, and Stefano Soatto. 2021 · 2021
Closest in time.
Adaptive knowledge-enhanced bayesian meta-learning for few-shot event detection
Shirong Shen, Tongtong Wu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari, and Sheng Bi. 2021 · 2021
Closest in time.
Men are elected, women are married: Events gender bias on wikipedia
Jiao Sun and Nanyun Peng. 2021 · 2021
Closest in time.
Multilingual generative language models for zero-shot cross-lingual event argument extraction
Kuan-Hao Huang, I-Hung Hsu, Premkumar Natarajan, Kai-Wei Chang, and Nanyun Peng. 2022 · 2022
Closest in time.