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We incorporate previous researches on assigning attention weights to adjacent nodes and integrate this mechanism into\n                      <jats:italic>Child-Sum Tree-LSTMs<\/jats:italic>\n                      to improve the detection of event trigger words. We also address a limitation of shallow syntactic dependencies in\n                      <jats:italic>Child-Sum Tree-LSTMs<\/jats:italic>\n                      by integrating deep syntactic dependencies to enhance the effect of the attention mechanism.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Our proposed model, which integrates an enhanced attention mechanism into Tree-LSTM, shows the best performance for the MLEE and BioNLP\u201909 datasets. Moreover, our model outperforms almost all complex event categories for the BioNLP\u201909\/11\/13 test set.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>We evaluate the performance of our proposed model with the MLEE and BioNLP datasets and demonstrate the advantage of an enhanced attention mechanism in detecting biomedical event trigger words.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s12859-023-05336-7","type":"journal-article","created":{"date-parts":[[2023,6,15]],"date-time":"2023-06-15T02:02:17Z","timestamp":1686794537000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Child-Sum EATree-LSTMs: enhanced attentive Child-Sum Tree-LSTMs for biomedical event extraction"],"prefix":"10.1186","volume":"24","author":[{"given":"Lei","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Han","family":"Cao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liu","family":"Yuan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaoxu","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yachao","family":"Cui","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,6,15]]},"reference":[{"key":"5336_CR1","doi-asserted-by":"crossref","unstructured":"Kim J-D, Tomoko O, Pyysalo S. 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