Named entity recognition
Recognition of named entities is a task of natural language processing in which we for each token (i.e., mostly word) determine the type of object it represents. Named entities represent proper names of persons, organizations, geographical names and miscellaneous names. When recognizing named entities, algorithms try to take context into account to better infer the meaning of a word or phrase. The task, in addition to coreference resolution and relationship extraction, is one of the basic and key tasks of the text information extraction.
Web service should be used for demonstration purposes only, and is limited by the number of requests per time unit and input length. To use the service within your applications, please download results of the projects, available in the Clarin.si repository.
Tool available at: https://github.com/RSDO-DS3/SloNER