Abstract: The present disclosure provides an entity relation mining method based on a biomedical literature, including the following steps: querying a disease-associated biomedical literature in a public database, and performing data preprocessing to obtain biomedical text data; performing biomedical named entity recognition on obtained biomedical text data in combination with a regex matching pattern and a deep learning model; and mining an entity relation with transfer learning and reinforcement learning based on an entity recognition result. By acquiring the disease-associated biomedical literature from a network, extracting an abstract and a title and performing entity recognition and relation mining, the present disclosure can effectively recognize biomedical noun entities in the literature and mine potential relations between various entities.

Abstract: A coplanar waveguide wire electrode structure and a modulator includes a metal electrode and an optical waveguide. The metal electrode includes ground electrodes and a signal electrode. Connecting arms are arranged on both sides of the signal electrode. The inner sides of the ground electrodes are provided with other connecting arms. The tail ends of the connecting arms of the signal electrode are provided with signal wire extension electrodes, and the tail ends of the connecting arms of the ground electrodes are provided with ground wire extension electrodes. A distance is provided between the signal wire extension electrodes and the ground wire extension electrodes. The optical waveguide passes through the spaces between the signal wire extension electrodes and the ground wire extension electrodes. By extending the metal electrode, the distance between the electrodes is actually shortened.