RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction

Research article (Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022) · cited 30× · AI/ML
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RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction

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RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction. Retrieved May 24, 2026, from https://4ort.xyz/entity/raat-relation-augmented-attention-transformer-for-relation-modeling-in-document-level-event-extraction
MLA “RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/raat-relation-augmented-attention-transformer-for-relation-modeling-in-document-level-event-extraction.
BibTeX @misc{4ortxyz_raat-relation-augmented-attention-transformer-for-relation-modeling-in-document-level-event-extraction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction}}, year = {2026}, url = {https://4ort.xyz/entity/raat-relation-augmented-attention-transformer-for-relation-modeling-in-document-level-event-extraction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): RAAT: Relation-Augmented Attention Transformer for Relation Modeling in Document-Level Event Extraction — https://4ort.xyz/entity/raat-relation-augmented-attention-transformer-for-relation-modeling-in-document-level-event-extraction (retrieved 2026-05-24)

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