Modelling and Data Analysis
2024. Vol. 14, no. 1, 27–40
doi:10.17759/mda.2024140102
ISSN: 2219-3758 / 2311-9454 (online)
Extracting Scientific and Technical Facts from Industry Documents Based on Methods of Their Semantic-syntactic and Conceptual Analysis
Abstract
Extraction of scientific and technical facts is a difficult task in terms of correctness of the obtained information. The proposed fact extraction model is based on clear ideas about the semantic structure of the text, expressed as a hierarchy of syntactic constructions of meaning units, which allows identifying interphrase relations in contacted sentences. Individual words, word combinations inherent to a particular subject area and forming its conceptual composition are used as meaning units. The procedures of phraseological, conceptual and semantic-syntactic analysis of texts are used to process the source text.
General Information
Keywords: fact extraction, semantic-syntactic analysis, semantic-syntactic analysis, conceptual analysis, semantic triad
Journal rubric: Data Analysis
Article type: scientific article
DOI: https://doi.org/10.17759/mda.2024140102
Received: 04.03.2024
Accepted:
For citation: Kan A.V., Kozlovskaya Y.D., Tokolova A.A. Extracting Scientific and Technical Facts from Industry Documents Based on Methods of Their Semantic-syntactic and Conceptual Analysis. Modelirovanie i analiz dannikh = Modelling and Data Analysis, 2024. Vol. 14, no. 1, pp. 27–40. DOI: 10.17759/mda.2024140102. (In Russ., аbstr. in Engl.)
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