Topic-informed neural approach for biomedical event extraction
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DOI: 10.1016/j.artmed.2019.101783
Abstract: As a crucial step of biological event extraction, event trigger identification has attracted much attention in recent years. Deep representation methods, which have the superiorities of less feature engineering and end-to-end training, show better performance… read more here.
Keywords: biomedical event; approach biomedical; event; event extraction ... See more keywords
LSTM-Based End-to-End Framework for Biomedical Event Extraction
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DOI: 10.1109/tcbb.2019.2916346
Abstract: Biomedical event extraction plays an important role in the extraction of biological information from large-scale scientific publications. However, most state-of-the-art systems separate this task into several steps, which leads to cascading errors. In addition, it… read more here.
Keywords: event extraction; end end; biomedical event; extraction ... See more keywords
Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks
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DOI: 10.1186/s12859-020-3376-2
Abstract: Background Biomedical event extraction is a fundamental and in-demand technology that has attracted substantial interest from many researchers. Previous works have heavily relied on manual designed features and external NLP packages in which the feature… read more here.
Keywords: deep neural; neural networks; biomedical event; event ... See more keywords