Methods of Extracting Information About the Events from the Problem-Oriented Texts

Student: Igoshin Anton

Educational Programme: Applied Mathematics and Information Science (Bachelor)

Year of Graduation: 2018

Nowadays, huge volumes of data are available in the form of texts in natural language, this facilitated by a rapid development of common sources of information. The problems of processing this data are studied in the field of Computer Linguistics. One of the most significant challenges so far is effective information extraction, which would allow to focus on the relevant information only. In this work, a review of the recent methods for information extraction from texts in Russian language is presented. With the help of LSPL language and software based on it, an application is developed for extracting data from quarterly financial reports of one of the leading state banks. An experimental analysis of the application is provided.

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