The paper obtains a total of 155 literatures related to pharmacology of Tibetan medicine through CNKI, builds a Chinese pharmacological entity recognition corpus for Tibetan medicine, designs a pharmacological named entity recognition method for Tibetan medicine based on BiLSTM-CRF deep learning model, uses the information extraction technology to extract and identify the pharmacology of Tibetan medicine from scientific literatures, provides a new way for the study on Tibetan medicine literatures.