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

Описание

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 aПоказать полностьюbasis 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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