APPLICATION OF RUSSIAN NAMED ENTITY RECOGNITION AND COREFERENCE RESOLUTION IN THE OIL INDUSTRY
This paper describes the application of named entity recognition and coreference resolution algorithms in the oil industry. Oil industry researchers and businesses generate large amounts of content every day. Managing them correctly is very important to get the most use of each article and document. Named entity recognition algorithms can automatically scan entire articles and reveal the most significant people, organizations, and places discussed in them, while coreference resolution combines each entity mention into clusters of mentions. Each cluster represents one entity across one document. These methods allow to simplify the analysis of large numbers of documents and articles for researchers, managers, engineers, etc.