The Method of Context-Dependent Annotation Based on the Spectral Language Model in Information Systems for Monitoring Emergencies | Научно-инновационный портал СФУ

The Method of Context-Dependent Annotation Based on the Spectral Language Model in Information Systems for Monitoring Emergencies

Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций

Конференция: Computer Science Online Conference, CSOC 2021

Год издания: 2021

Идентификатор DOI: 10.1007/978-3-030-77445-5_64

Ключевые слова: context-dependent annotation, emergency monitoring, information system, spectral language model

Аннотация: The article describes the method of context-dependent annotation based on the spectral language model for solving problems of emergency monitoring based on information systems. A functional model of the emergency monitoring task in the IDEF0 notation is presented. The task of context-dependent annotation of operational reports as a basis for generating preliminary reports is formulated. An algorithm for solving this problem is presented, taking into account the specifics of the subject area. A comparative analysis of the quality of constructing annotations manually and on the basis of the presented method using assessor assessments is carried out. #CSOC1120. © 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.

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Издание

Журнал: Lecture Notes in Networks and Systems

Выпуск журнала: Vol. 229

Номера страниц: 714-721

ISSN журнала: 23673370

Издатель: Springer Science and Business Media Deutschland GmbH

Персоны

  • Pozharkova I. (FSBEE HE Siberian Fire and Rescue Academy, EMERCOM of Russia, Zheleznogorsk, Russian Federation)
  • Antamoshkin O. (Siberian Federal University, Krasnoyarsk, Russian Federation, Krasnoyarsk State Agrarian University, Krasnoyarsk, Russian Federation)
  • Opare K.A.-B. (Kwame Nkrumah University of Science and Technology, Kumasi, Ghana)
  • Knyazkov A. (Siberian Federal University, Krasnoyarsk, Russian Federation)
  • Kukartsev V. (Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russian Federation)
  • Shestakov V. (Siberian Federal University, Krasnoyarsk, Russian Federation)
  • Pomazan V. (Siberian Federal University, Krasnoyarsk, Russian Federation)
  • Tsarev R. (Siberian Federal University, Krasnoyarsk, Russian Federation, V.A. Trapeznikov Institute of Control Sciences of Russian Academy of Sciences, Moscow, Russian Federation)

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