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Biomedical Event Extraction Using Convolutional Neural Networks and Dependency Parsing

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Figure

Figure 1:We use the same network architecturebeing classified as belonging to one or more of 10entity types
Figure 2:System stages. The TEES pipeline performs event extraction in four consecutive stages,generating first 1
Table 1: The corpora used in this work are listedwith their domain, number of event and entitytypes (E), number of event argument and relationtypes (I), and number of sentences (S).
Table 2: Results. Performance is shown in Precision, Recall and F-score, measured on the corpus testset for related work and our TEES CNN method (single best model, 5 model ensemble, or mixed 5 modelensemble with randomized train/validation set split)
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