Event Extraction: A Survey
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Abstract (arXiv)
Extracting the reported events from text is one of the key research themes in natural language processing. This process includes several tasks such as event detection, argument extraction, role labeling. As one of the most important topics in natural language processing and natural language understanding, the applications of event extraction spans across a wide range of domains such as newswire, biomedical domain, history and humanity, and cyber security. This report presents a comprehensive survey for event detection from textual documents. In this report, we provide the task definition, the evaluation method, as well as the benchmark datasets and a taxonomy of methodologies for event extraction. We also present our vision of future research direction in event detection.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 51 of its 153 references that are in the map. First posted on arXiv 7 Oct 2022.
Builds on
51 of 153 references.
References · 51
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38 more
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3 papers.