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Document-level event argument extraction poses new challenges of long input and cross-sentence inference compared to its sentence-level counterpart.
Refining event extraction through cross-document inference
Heng Ji and Ralph Grishman. 2008 · 2008
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Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
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Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba. 2014 · 2014
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Event extraction via dynamic multi-pooling convolutional neural networks
Yubo Chen, Liheng Xu, Kang Liu, Daojian Zeng, and Jun Zhao. 2015 · 2015
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Event detection and domain adaptation with convolutional neural networks
Thien Huu Nguyen and Ralph Grishman. 2015 · 2015
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Bidirectional long short-term memory networks for relation classification
Shu Zhang, Dequan Zheng, Xinchen Hu, and Ming Yang. 2015 · 2015
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2016 · 2016
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Joint event extraction via recurrent neural networks
Thien Huu Nguyen, Kyunghyun Cho, and Ralph Grishman. 2016 · 2016
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Focal loss for dense object detection
Tsung-Yi Lin, Priya Goyal, Ross Girshick, Kaiming He, and Piotr Dollár. 2017 · 2017
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Exploiting argument information to improve event detection via supervised attention mechanisms
Shulin Liu, Yubo Chen, Kang Liu, and Jun Zhao. 2017 · 2017
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Jointly multiple events extraction via attention-based graph information aggregation
Xiao Liu, Zhunchen Luo, and Heyan Huang. 2018 · 2018
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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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. 2019 · 2019
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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 · 2019
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Simple BERT models for relation extraction and semantic role labeling
Peng Shi and Jimmy Lin. 2019 · 2019
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Entity, relation, and event extraction with contextualized span representations
David Wadden, Ulme Wennberg, Yi Luan, and Hannaneh Hajishirzi. 2019 · 2019
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Adversarial training for weakly supervised event detection
Xiaozhi Wang, Xu Han, Zhiyuan Liu, Maosong Sun, and Peng Li. 2019 · 2019
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Event detection with multi-order graph convolution and aggregated attention
Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, and Xueqi Cheng. 2019 · 2019
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Doc2EDAG: An end-to-end document-level framework for Chinese financial event extraction
Shun Zheng, Wei Cao, Wei Xu, and Jiang Bian. 2019 · 2019
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Multi-sentence argument linking
Seth Ebner, Patrick Xia, Ryan Culkin, Kyle Rawlins, and Benjamin Van Durme. 2020 · 2020
CLEVE: Contrastive Pre-training for Event Extraction
Ziqi Wang, Xiaozhi Wang, Xu Han, Yankai Lin, Lei Hou, Zhiyuan Liu, Peng Li, Juanzi Li, and Jie Zhou. 2021 · 2021
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Trigger is not sufficient: Exploiting frame-aware knowledge for implicit event argument extraction
Kaiwen Wei, Xian Sun, Zequn Zhang, Jingyuan Zhang, Guo Zhi, and Li Jin. 2021 · 2021
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Document-level event extraction via heterogeneous graph-based interaction model with a tracker
Runxin Xu, Tianyu Liu, Lei Li, and Baobao Chang. 2021 · 2021
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Document-level event extraction via parallel prediction networks
Hang Yang, Dianbo Sui, Yubo Chen, Kang Liu, Jun Zhao, and Taifeng Wang. 2021 · 2021
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Document-level relation extraction with adaptive thresholding and localized context pooling
Wenxuan Zhou, Kevin Huang, Tengyu Ma, and Jing Huang. 2021 · 2021
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Transition-based parsing with stack-transformers
Ramón Fernandez Astudillo, Miguel Ballesteros, Tahira Naseem, Austin Blodgett, and Radu Florian. 2020 · 2020
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GAIA: A fine-grained multimedia knowledge extraction system
Manling Li, Alireza Zareian, Ying Lin, Xiaoman Pan, Spencer Whitehead, Brian Chen, Bo Wu, Heng Ji, Shih-Fu Chang, Clare Voss, Daniel Napierski, and Marjorie Freedman. 2020 · 2020
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Improving event detection via open-domain trigger knowledge
Meihan Tong, Bin Xu, Shuai Wang, Yixin Cao, Lei Hou, Juanzi Li, and Jun Xie. 2020 · 2020
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A weighted gcn with logical adjacency matrix for relation extraction
Li Zhou, Tingyu Wang, Hong Qu, Li Huang, and Yuguo Liu. 2020 · 2020
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GRIT: Generative role-filler transformers for document-level event entity extraction
Xinya Du, Alexander Rush, and Claire Cardie. 2021 · 2021
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Document-level event argument extraction by conditional generation
Sha Li, Heng Ji, and Jiawei Han. 2021 · 2021
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Dynamic prefix-tuning for generative template-based event extraction
Xiao Liu, Heyan Huang, Ge Shi, and Bo Wang. 2022 · 2022
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Document-level event argument extraction via optimal transport
Amir Pouran Ben Veyseh, Minh Van Nguyen, Franck Dernoncourt, Bonan Min, and Thien Nguyen. 2022 · 2022
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CLIO: Role-interactive multi-event head attention network for document-level event extraction
Yubing Ren, Yanan Cao, Fang Fang, Ping Guo, Zheng Lin, Wei Ma, and Yi Liu. 2022 · 2022
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Query and extract: Refining event extraction as type-oriented binary decoding
Sijia Wang, Mo Yu, Shiyu Chang, Lichao Sun, and Lifu Huang. 2022 · 2022
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Xu at SemEval-2022 task 4: Pre-BERT neural network methods vs post-BERT RoBERTa approach for patronizing and condescending language detection
Jinghua Xu. 2022 · 2022
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A two-stream amr-enhanced model for document-level event argument extraction
Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, and Zhifang Sui. 2022 · 2022
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EA 2 E: Improving consistency with event awareness for document-level argument extraction
Qi Zeng, Qiusi Zhan, and Heng Ji. 2022 · 2022
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Rethinking random walk in graph representation learning
Dingyi Zeng, Wenyu Chen, Wanlong Liu, Li Zhou, and Hong Qu. 2023 · 2023
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