Biomedical Literature related MAP
- Wen-Lian Hsu
IP Status：Trade Secret
This map is constructed for biological named entities, including the ontology and learned principles for protein, DNA, RNA, cell line, and cell types. User can expand the range to other terminology recognition at will.
Fields of Application：
This map is the basis for future research on Biological Literature Mining. It contains the basic entity recognition, which can be extended to biological relation extraction as well as medical record summarization. It can also be applied to biological question answering.
Advantages when compared to the existing technologies：
Traditional machine learning systems learn a lot parameters, which cannot be explained to human users. This map is a result of a new machine learning model, called principle-based approach. Besides its high recognition rate, the knowledge contained in the map can be expanded and accumulated to be reused to other problems.
Contact Person：Ming-Chieh Chen / 886-2-2787-2509 / email@example.com