Mapping WordNet Concepts with CPA Ontology

Svetla Koeva, Cvetana Dimitrova, Valentina Stefanova, Dimitar Hristov


Abstract
The paper discusses the enrichment of WordNet data through merging of WordNet concepts and Corpus Pattern Analysis (CPA) semantic types. The 253 CPA semantic types are mapped to the respective WordNet concepts. As a result of mapping, the hyponyms of a synset to which a CPA semantic type is mapped inherit not only the respective WordNet semantic primitive but also the CPA semantic type.
Anthology ID:
2018.gwc-1.9
Volume:
Proceedings of the 9th Global Wordnet Conference
Month:
January
Year:
2018
Address:
Nanyang Technological University (NTU), Singapore
Venue:
GWC
SIG:
Publisher:
Global Wordnet Association
Note:
Pages:
69–76
Language:
URL:
https://aclanthology.org/2018.gwc-1.9
DOI:
Bibkey:
Cite (ACL):
Svetla Koeva, Cvetana Dimitrova, Valentina Stefanova, and Dimitar Hristov. 2018. Mapping WordNet Concepts with CPA Ontology. In Proceedings of the 9th Global Wordnet Conference, pages 69–76, Nanyang Technological University (NTU), Singapore. Global Wordnet Association.
Cite (Informal):
Mapping WordNet Concepts with CPA Ontology (Koeva et al., GWC 2018)
Copy Citation:
PDF:
https://aclanthology.org/2018.gwc-1.9.pdf