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).
Cite
CITATION STYLE
di Buono, M. P. (2017). An Ontology-Based Method for Extracting and Classifying Domain-Specific Compositional Nominal Compounds. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 83–88). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/w17-2211
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