Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks

摘要

PubMed recorded over 28 million papers in 2018 [ ] which reflects the rapid growth of the biomedical literature. The knowledge and discoveries reported in the biomedical literature receive substantial attention, but the large volume of the literature poses a challenge to information retrieval; therefore, text mining has become an in-demand technology and a popular research focus. Event extraction, which is an effective way to represent the structured knowledge from unstructured text [ ], is a fundamental technology for text mining. However, event extraction is particularly difficult due to the complex and arbitrary structure of events in biomedicine, so related research is urgently needed [ ].