Fetching the paper…
Reading the bibliography…
Event extraction has long been treated as a sentence-level task in the IE community.
Inside the search process: Information seeking from the user’s perspective
Carol C Kuhlthau. 1991 · 1991
Earlier work this paper cites.
Message Understanding Conference- 6: A brief history
Ralph Grishman and Beth Sundheim. 1996 · 1996
Earlier work this paper cites.
Refining event extraction through cross-document inference
Heng Ji and Ralph Grishman. 2008 · 2008
Earlier work this paper cites.
Beyond NomBank: A study of implicit arguments for nominal predicates
Matthew Gerber and Joyce Chai. 2010 · 2010
Earlier work this paper cites.
SemEval-2010 task 10: Linking events and their participants in discourse
Josef Ruppenhofer, Caroline Sporleder, Roser Morante, Collin Baker, and Martha Palmer. 2010 · 2010
Earlier work this paper cites.
Predicate-specific annotations for implicit role binding: Corpus annotation, data analysis and evaluation experiments
Tatjana Moor, Michael Roth, and Anette Frank. 2013 · 2013
Earlier work this paper cites.
Looking for information: A survey of research on information seeking, needs, and behavior
Jens-Erik Mai. 2016 · 2016
Earlier work this paper cites.
Event detection and co-reference with minimal supervision
Haoruo Peng, Yangqiu Song, and Dan Roth. 2016 · 2016
Earlier work this paper cites.
Prototypical networks for few-shot learning
Jake Snell, Kevin Swersky, and Richard Zemel. 2017 · 2017
Earlier work this paper cites.
Zero-shot transfer learning for event extraction
Lifu Huang, Heng Ji, Kyunghyun Cho, Ido Dagan, Sebastian Riedel, and Clare Voss. 2018 · 2018
Earlier work this paper cites.
Simple bert models for relation extraction and semantic role labeling
Peng Shi and Jimmy Lin. 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.
Tapnet: Neural network augmented with task-adaptive projection for few-shot learning
Sung Whan Yoon, Jun Seo, and Jaekyun Moon. 2019 · 2019
Cited alongside, same era.
Reading the manual: Event extraction as definition comprehension
Yunmo Chen, Tongfei Chen, Seth Ebner, Aaron Steven White, and Benjamin Van Durme. 2020 · 2020
Cited alongside, same era.
Meta-learning with dynamic-memory-based prototypical network for few-shot event detection
Shumin Deng, Ningyu Zhang, Jiaojian Kang, Yichi Zhang, Wei Zhang, and Huajun Chen. 2020 · 2020
Cited alongside, same era.
Extensively matching for few-shot learning event detection
Viet Dac Lai, Thien Huu Nguyen, and Franck Dernoncourt. 2020 · 2020
Later among the works it cites.
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
Later among the works it cites.
Gaia at sm-kbp 2020 - a dockerlized multi-media multi-lingual knowledge extraction, clustering, temporal tracking and hypothesis generation system
Manling Li, Ying Lin, Tuan Manh Lai, Xiaoman Pan, Haoyang Wen, Sha Li, Zhenhailong Wang, Pengfei Yu, Lifu Huang, Di Lu, Qingyun Wang, Haoran Zhang, Qi Zeng, Chi Han, Zixuan Zhang, Yujia Qin, Xiaodan Hu, Nikolaus Parulian, Daniel Campos, Heng Ji, Brian Chen, Xudong Lin, Alireza Zareian, Amith Ananthram, Emily Allaway, Shih-Fu Chang, Kathleen McKeown, Yixiang Yao, Yifan Wang, Michael Spector, Mitchell DeHaven, Daniel Napierski, Marjorie Freedman, Pedro Szekely, Haidong Zhu, Ram Nevatia, Yang Bai, Yifan Wang, Ali Sadeghian, Haodi Ma, and Daisy Zhe Wang. 2020 · 2020
Later among the works it cites.
A joint neural model for information extraction with global features
Ying Lin, Heng Ji, Fei Huang, and Lingfei Wu. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
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.
Probing and fine-tuning reading comprehension models for few-shot event extraction
Rui Feng, Jie Yuan, and Chao Zhang. 2020 · 2020
Cited alongside, same era.
Few-shot slot tagging with collapsed dependency transfer and label-enhanced task-adaptive projection network
Yutai Hou, Wanxiang Che, Yongkui Lai, Zhihan Zhou, Yijia Liu, Han Liu, and Ting Liu. 2020 · 2020
Cited alongside, same era.
Text classification using label names only: A language model self-training approach
Yu Meng, Yunyi Zhang, Jiaxin Huang, Chenyan Xiong, Heng Ji, Chao Zhang, and Jiawei Han. 2020 · 2020
Later among the works it cites.
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, W. Li, and Peter J. Liu. 2020 · 2020
Later among the works it cites.
Unsupervised commonsense question answering with self-talk
Vered Shwartz, Peter West, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2020 · 2020
Later among the works it cites.
A two-step approach for implicit event argument detection
Zhisong Zhang, Xiang Kong, Zhengzhong Liu, Xuezhe Ma, and Eduard Hovy. 2020 · 2020
Later among the works it cites.
Grit: Generative role-filler transformers for document-level event entity extraction
Xinya Du, Alexander M. Rush, and Claire Cardie. 2021 · 2021
Closest in time.