Named Entity Extraction Model Based on the Random Walk Method

Madina Mansurova, Vladimir Barakhnin, Marzhan Kyrgyzbayeva, Nurgali Kadyrbek

Результат исследования: Публикации в книгах, отчётах, сборниках, трудах конференцийстатья в сборнике материалов конференциинаучнаярецензирование

Аннотация

In connection with the rapid development of Internet technologies, modern society in recent decades has experienced an information explosion characterized by an exponential increase in the volume of information, including low quality information. This work is intended to provide all interested parties with intelligent tools to support decision-making by automatically extracting knowledge from heterogeneous data sources, including the Internet. In the work, we examined the primary processing and morphological analysis of texts, implemented a random walk method to extract semantically related words. As a result of the calculations, we got a matrix with the affinities of words, as well as a dictionary that connects the word with the vector component. In addition, the neural network, trained to retrieve linguistic constructions, which include the possible values of descriptors of named text entities, was described in the work.

Язык оригиналаанглийский
Название основной публикацииSIST 2021 - 2021 IEEE International Conference on Smart Information Systems and Technologies
ИздательInstitute of Electrical and Electronics Engineers Inc.
ISBN (электронное издание)9781728174709
DOI
СостояниеОпубликовано - 28 апр 2021
Событие2021 IEEE International Conference on Smart Information Systems and Technologies, SIST 2021 - Nur-Sultan, Казахстан
Продолжительность: 28 апр 202130 апр 2021

Серия публикаций

НазваниеSIST 2021 - 2021 IEEE International Conference on Smart Information Systems and Technologies

Конференция

Конференция2021 IEEE International Conference on Smart Information Systems and Technologies, SIST 2021
СтранаКазахстан
ГородNur-Sultan
Период28.04.202130.04.2021

Предметные области OECD FOS+WOS

  • 1.02 КОМПЬЮТЕРНЫЕ И ИНФОРМАЦИОННЫЕ НАУКИ
  • 1.02.ET ИНФОРМАТИКА, ИНФОРМАЦИОННЫЕ СИСТЕМЫ

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