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Multi-Task Topic Analysis Framework for Hallmarks of Cancer with Weak Supervision
2020
Applied Sciences
The hallmarks of cancer represent an essential concept for discovering novel knowledge about cancer and for extracting the complexity of cancer. Due to the lack of topic analysis frameworks optimized specifically for cancer data, the studies on topic modeling in cancer research still have a strong challenge. Recently, deep learning (DL) based approaches were successfully employed to learn semantic and contextual information from scientific documents using word embeddings according to the
doi:10.3390/app10030834
fatcat:4pain7wgyvg57mnabnzzoyyz4m