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
- Editors:
- Beatrice Alex, Stefania Degaetano-Ortlieb, Anna Feldman, Anna Kazantseva, Nils Reiter, Stan Szpakowicz
- 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
- 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)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/W17-2211.pdf