An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds

Maria Pia di Buono


Abstract
In this paper, we present our preliminary study on an ontology-based method to extract and classify compositional nominal compounds in specific domains of knowledge. This method is based on the assumption that, applying a conceptual model to represent knowledge domain, it is possible to improve the extraction and classification of lexicon occurrences for that domain in a semi-automatic way. We explore the possibility of extracting and classifying a specific construction type (nominal compounds) spanning a specific domain (Cultural Heritage) and a specific language (Italian).
Anthology ID:
W17-2211
Volume:
Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature
Month:
August
Year:
2017
Address:
Vancouver, Canada
Venue:
LaTeCH
SIG:
SIGHUM
Publisher:
Association for Computational Linguistics
Note:
Pages:
83–88
Language:
URL:
https://aclanthology.org/W17-2211
DOI:
10.18653/v1/W17-2211
Bibkey:
Cite (ACL):
Maria Pia di Buono. 2017. An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds. In Proceedings of the Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, pages 83–88, Vancouver, Canada. Association for Computational Linguistics.
Cite (Informal):
An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds (di Buono, LaTeCH 2017)
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PDF:
https://aclanthology.org/W17-2211.pdf