| DC Field | Value | Language |
|---|
| dc.contributor.author | Orobinska, Olena | - |
| dc.contributor.author | Chauchat, Jean-Hugues | - |
| dc.contributor.author | Sharonova, Natalya | - |
| dc.date.accessioned | 2018-02-22T11:43:46Z | - |
| dc.date.available | 2018-02-22T11:43:46Z | - |
| dc.date.issued | 2017 | - |
| dc.identifier.citation | Orobinska O. Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security) / Olena Orobinska, Jean-Hugues Chauchat, Natalya Sharonova // Computational linguistics andintelligent systems (COLINS 2017) : proceedings of the 1st International conference, Kharkiv, Ukraine, 21 April 2017 / National Technical University «KhPI», Lviv Polytechnic National University. – Kharkiv, 2017. – P. 95–99. – Bibliography: 3 titles. | uk_UA |
| dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/39462 | - |
| dc.description.abstract | We propose a hybrid, semi-automatic approach that uses the intersection of semantic classes of nouns and verbs built on the domain lexicon and builds kernel ontology from a list of initial concepts and then completes this kernel ontology by new entities detected in a large corpus of texts of international standards of Radiological Safety. The results confirm the important role of initial linguistic modeling and show that the external lexical resources available online can contribute effectively to the resolution of the problem of lexical disambiguation. | uk_UA |
| dc.language.iso | en | uk_UA |
| dc.publisher | National Technical University «KhPI» | uk_UA |
| dc.subject | ontology learning | uk_UA |
| dc.subject | text processing | uk_UA |
| dc.subject | semantic analysis | uk_UA |
| dc.subject | terms extraction | uk_UA |
| dc.title | Methods and models of automatic ontology construction for specialized domains (case of the Radiation Security) | uk_UA |
| dc.type | Conference Abstract | uk_UA |
| dc.contributor.affiliation | National Technical University "Kharkiv Polytechnic Institute" | uk_UA |
| dc.coverage.country | UA | uk_UA |
| dc.format.pages | 95-99 | - |
| dc.relation.referencesen | 1. Nokel, M., Loukachevitch, N.: An Experimental Study of Term Extraction for Real Information-Retrieval Thesauri In: Proceedings of 10th International Conference on Terminology and Arti cial Intelligence TIA 2013 pp.69-76. Paris (2013) 2. Orobinska, O., Chauchat J.-H., Sharonova N.: Enrichissement d'une ontologie de domaine par extension des relations taxonomiques a partir de corpus specialis In: Proceedings of the 10th International Conference on Terminology and Arti cial Intelligence TIA 2013, pp.129{137. Paris (2013) 3. Cabre, M.T., Cormier, M.C., Humbley, J.: La terminologie: theorie, methode et applications. Presses de l'Universit d'Ottawa, (1998) | uk_UA |
| dc.citation.conference | Computational linguistics andintelligent systems (COLINS 2017) | - |
| dc.coverage.placename | Kharkiv | uk_UA |
| Appears in Collections: | Computational linguistics and intelligent systems. – 2017 р.
|
