title: Developing methods for behavior scenario analysis (on the material of instructional texts)
metadata.name: dc.contributor.author
metadata.value: Mishlanov, Valerii A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Chuganskaya, Anfisa A.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Smirnov, Ivan V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Suvorova, Margarita I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kuruzov, Ilya A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2020-04-28T17:46:38Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2020-04-28T17:46:38Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2020-03
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Mishlanov, V. A., Chuganskaya, A. A., Smirnov, I. V., Suvorova, M. I., Kuruzov I. A. (2020). Developing methods for behavior scenario analysis (on the material of instructional texts). Media Linguistics, 7 (1), 16–28.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/spbu22.2020.102
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/17428
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: The article discusses the modeling of behavioral scenarios and methods for their extraction
  from texts published in social media. The authors proceed from the basic (in modern cognitive
  science) position that the intentional aspect of a person’s behavior is reflected in his speech
  activity. This gives reason to extract scenarios from the texts generated to carry out some
  activity. The choice of instructive texts is determined by the fact that their genre, content and
  communicative intentions of their authors most explicitly represent the program of human
  behavior. In this article we propose several methods for automatic construction of behavior
  scenarios, as well as a scenario model in the form of a frame. This model can be used in the
  system for automatic extraction of scenarios from texts and their further implementation. We
  describe an experiment on automatic scenario identification in texts and its results. The experiment
  includes text segmentation after which each segment is associated with a particular
  step of a scenario. Text segmentation involves dividing a text into semantic units, selecting the
  most important of them, which express (by their lexical meaning and form) incentive modality,
  and finding some details to these units. In psychological terms, this means that we extract
  those segments that contain description of some goals and particular actions that lead to their
  achievement. Reconstruction of the scenario in this case can be represented as automatic extraction
  of goals, actors, actions and conditions from selected segments. The result of text
  segmentation achieves a fairly high F-measure.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: Работа выполнена при частичной поддержке РФФИ (гранты № 17-07-00651 «Разработка моделей и методов конструирования сценариев поведения на основе анализа текстов» и № 18-29-22027
  «Персональные когнитивные ассистенты, сопровождающие деятельность человека в информационном пространстве»).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Media Linguistics;Volume 7; Issue 1
metadata.lang: -
metadata.name: dc.subject
metadata.value: behavior scenarios
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: instructional texts
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: social media
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: scenario model
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Developing methods for behavior scenario analysis (on the material of instructional texts)
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 16-28.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/17428/1/16-28.pdf
resources.format: Adobe PDF
resources.size: 717,88 kB