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We present a novel, language-agnostic approach to "priming" language models for the task of event extraction, providing particularly effective performance in low-resource and zero-shot cross-lingual settings.
A Unified MRC Framework for Named Entity Recognition
Li, X.; Feng, J.; Meng, Y.; Han, Q.; Wu, F.; and Li, J. 2019a · 1910
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Distributed Representations of Words and Phrases and their Compositionality
Mikolov, T.; Sutskever, I.; Chen, K.; Corrado, G. S.; and Dean, J. 2013 · 2013
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Farasa: A Fast and Furious Segmenter for Arabic
Abdelali, A.; Darwish, K.; Durrani, N.; and Mubarak, H. 2016 · 2016
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Joint Extraction of Events and Entities within a Document Context
Yang, B.; and Mitchell, T. M. 2016 · 2016
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Tokenizing, POS Tagging, Lemmatizing and Parsing UD 2.0 with UDPipe
Straka, M.; and Straková, J. 2017 · 2017
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Deep Contextualized Word Representations
Peters, M.; Neumann, M.; Iyyer, M.; Gardner, M.; Clark, C.; Lee, K.; and Zettlemoyer, L. 2018 · 2018
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BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2019 · 2019
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Cross-lingual Structure Transfer for Relation and Event Extraction
Subburathinam, A.; Lu, D.; Ji, H.; May, J.; Chang, S.-F.; Sil, A.; and Voss, C. 2019 · 2019
Cited alongside, same era.
Entity, Relation, and Event Extraction with Contextualized Span Representations
Wadden, D.; Wennberg, U.; Luan, Y.; and Hajishirzi, H. 2019 · 2019
Cited alongside, same era.
Joint Entity and Event Extraction with Generative Adversarial Imitation Learning
Zhang, T.; Ji, H.; and Sil, A. 2019 · 2019
Cited alongside, same era.
Unsupervised Cross-lingual Representation Learning at Scale
Conneau, A.; Khandelwal, K.; Goyal, N.; Chaudhary, V.; Wenzek, G.; Guzmán, F.; Grave, E.; Ott, M.; Zettlemoyer, L.; and Stoyanov, V. 2020 · 2020
Cited alongside, same era.
Event Extraction by Answering (Almost) Natural Questions
Du, X.; and Cardie, C. 2020 · 2020
Cited alongside, same era.
Probing and Fine-tuning Reading Comprehension Models for Few-shot Event Extraction
Event Extraction as Machine Reading Comprehension
Liu, J.; Chen, Y.; Liu, K.; Bi, W.; and Liu, X. 2020 · 2020
Later among the works it cites.
CorefQA: Coreference Resolution as Query-based Span Prediction
Wu, W.; Wang, F.; Yuan, A.; Wu, F.; and Li, J. 2020 · 2020
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GATE: Graph Attention Transformer Encoder for Cross-lingual Relation and Event Extraction
Ahmad, W. U.; Peng, N.; and Chang, K.-W. 2021 · 2021
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Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures
Nguyen, M. V.; and Nguyen, T. H. 2021 · 2021
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How Many Data Points is a Prompt Worth?
Scao, T. L.; and Rush, A. M. 2021 · 2021
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Gradual Fine-Tuning for Low-Resource Domain Adaptation
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Feng, R.; Yuan, J.; and Zhang, C. 2020 · 2020
Cited alongside, same era.
A Joint Neural Model for Information Extraction with Global Features
Lin, Y.; Ji, H.; Huang, F.; and Wu, L. 2020 · 2020
Cited alongside, same era.
Entity-Relation Extraction as Multi-Turn Question Answering
Li, X.; Yin, F.; Sun, Z.; Li, X.; Yuan, A.; Chai, D.; Zhou, M.; and Li, J. 2019b
Cited in the paper.
Xu, H.; Ebner, S.; Yarmohammadi, M.; White, A. S.; Van Durme, B.; and Murray, K. 2021 · 2021
Closest in time.