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Using Stanford CoreNLP Capabilities for Semantic Information Extraction from Textual Descriptions

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Evaluation of Novel Approaches to Software Engineering (ENASE 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1172))

Abstract

Automated extraction of semantic information from textual descriptions can be implemented by processing results of application of Stanford CoreNLP tools. This paper presents a sequence of processing steps and initial results of their application for two examples of a description of system’s functionality. The processing steps allow identifying main functional characteristics of the system and its operational domain. Results obtained as a result of application of the steps are compared with data obtained as a result of analysis by a developer. Application of Stanford CoreNLP parsers in certain cases can produce errors and can influence results of further processing. The comparison of the two results sets showed that variability of language constructs in descriptions affects an amount of implicitly expressed knowledge. Nevertheless, results of this research can be used as a start point of automated text processing for creation of analysis models.

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Authors and Affiliations

  1. Riga Technical University, 1 Setas Str., Riga, Latvia

    Erika Nazaruka, Jānis Osis & Viktorija Griberman

Authors
  1. Erika Nazaruka
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  2. Jānis Osis
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  3. Viktorija Griberman
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Corresponding author

Correspondence to Erika Nazaruka .

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Editors and Affiliations

  1. Department of Electrical and Computer Engineering, Khalifa University of Science and Technology, Abu Dhabi, United Arab Emirates

    Ernesto Damiani

  2. Department of Computer Science, City University of London, London, UK

    George Spanoudakis

  3. Wroclaw University of Economics, Wroclaw, Poland

    Leszek A. Maciaszek

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Nazaruka, E., Osis, J., Griberman, V. (2020). Using Stanford CoreNLP Capabilities for Semantic Information Extraction from Textual Descriptions. In: Damiani, E., Spanoudakis, G., Maciaszek, L. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2019. Communications in Computer and Information Science, vol 1172. Springer, Cham. https://doi.org/10.1007/978-3-030-40223-5_1

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  • DOI: https://doi.org/10.1007/978-3-030-40223-5_1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-40222-8

  • Online ISBN: 978-3-030-40223-5

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