Extracting Core Elements of TFM Functional Characteristics from Stanford CoreNLP Application Outcomes

Erika Nazaruka, Jānis Osis, Viktorija Griberman

Abstract

Stanford CoreNLP is the Natural Language Processing (NLP) pipeline that allow analysing text at paragraph, sentence and word levels. Its outcomes can be used for extracting core elements of functional characteristics of the Topological Functioning Model (TFM). The TFM elements form the core of the knowledge model kept in the knowledge base. The knowledge model ought to be the core source for further model transformations up to source code. This paper presents research on main steps of processing Stanford CoreNLP application results to extract actions, objects, results and executors of the functional characteristics. The obtained results illustrate that such processing can be useful, however, requires text with rigour, and even uniform, structure of sentences as well as attention to the possible parsing errors.

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Paper Citation


in Harvard Style

Nazaruka E., Osis J. and Griberman V. (2019). Extracting Core Elements of TFM Functional Characteristics from Stanford CoreNLP Application Outcomes.In Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: MDI4SE, ISBN 978-989-758-375-9, pages 591-602. DOI: 10.5220/0007831605910602


in Bibtex Style

@conference{mdi4se19,
author={Erika Nazaruka and Jānis Osis and Viktorija Griberman},
title={Extracting Core Elements of TFM Functional Characteristics from Stanford CoreNLP Application Outcomes},
booktitle={Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: MDI4SE,},
year={2019},
pages={591-602},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007831605910602},
isbn={978-989-758-375-9},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 14th International Conference on Evaluation of Novel Approaches to Software Engineering - Volume 1: MDI4SE,
TI - Extracting Core Elements of TFM Functional Characteristics from Stanford CoreNLP Application Outcomes
SN - 978-989-758-375-9
AU - Nazaruka E.
AU - Osis J.
AU - Griberman V.
PY - 2019
SP - 591
EP - 602
DO - 10.5220/0007831605910602