TEXT ANNOTATION AND USING SPEECH TECHNOLOGIES FOR SOLVING NATURAL LANGUAGE PROCESSING TASKS IN MEDICINE
In medicine, as in many other spheres, most of the data, that is processed and generated during the implementation of the relevant activity or that is necessary for its implementation, is presented in natural language. The range of issues related to the processing of text and speech data is wide. Due to the specifics of medicine associated with the processing of a large volume of medical data of various types in text form, as well as the need for communication between people in natural language, solving the problem of extracting relevant short content from both one and a set of documents, as well as speech processing, plays a special role. The article covers the task of annotating documents and tasks solved with the help of speech technologies and the creation of dialog systems.