Repository containing the winning submission for the BioCreative VI Task A (2017). The model is a Hierarchical Bidirectional Attention-Based RNN, implemented in Keras.
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Updated
Apr 18, 2018 - Python
Repository containing the winning submission for the BioCreative VI Task A (2017). The model is a Hierarchical Bidirectional Attention-Based RNN, implemented in Keras.
Evaluation scripts of the Biocreative LitCovid track
An end-to-end system for extracting protein-protein interactions affected by a genetic mutation.
Repository containing the winning system of the BioCreative VI Precision Medicine Track, Document Triage Task (2017). The model is a Hierarchical Bidirectional Attention-Based RNN, implemented in Keras.
[BioCreative VII] Track 5 - LitCovid track Multi-label topic classification for COVID-19 literature annotation
lasigeBioTM at MedHop track : Can a Lean RAG-Enhanced Model Compete with MedGemma?
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