Joint event extraction along shortest dependency paths using graph convolutional networks

Research article (Knowledge-Based Systems, 2020) · cited 43× · AI/ML
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Joint event extraction along shortest dependency paths using graph convolutional networks

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Joint event extraction along shortest dependency paths using graph convolutional networks is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Joint event extraction along shortest dependency paths using graph convolutional networks. Retrieved May 24, 2026, from https://4ort.xyz/entity/joint-event-extraction-along-shortest-dependency-paths-using-graph-convolutional-networks
MLA “Joint event extraction along shortest dependency paths using graph convolutional networks.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/joint-event-extraction-along-shortest-dependency-paths-using-graph-convolutional-networks.
BibTeX @misc{4ortxyz_joint-event-extraction-along-shortest-dependency-paths-using-graph-convolutional-networks_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Joint event extraction along shortest dependency paths using graph convolutional networks}}, year = {2026}, url = {https://4ort.xyz/entity/joint-event-extraction-along-shortest-dependency-paths-using-graph-convolutional-networks}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Joint event extraction along shortest dependency paths using graph convolutional networks — https://4ort.xyz/entity/joint-event-extraction-along-shortest-dependency-paths-using-graph-convolutional-networks (retrieved 2026-05-24)

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