TY - GEN
T1 - Towards a linking between WordNet and Wikidata
AU - McCrae, John P.
AU - Cillessen, David
N1 - Publisher Copyright:
© GWC 2021. All rights reserved.
PY - 2021
Y1 - 2021
N2 - WordNet is the most widely used lexical resource for English, while Wikidata is one of the largest knowledge graphs of entity and concepts available. While, there is a clear difference in the focus of these two resources, there is also a significant overlap and as such a complete linking of these resources would have many uses. We propose the development of such a linking, first by means of the hapax legomenon links and secondly by the use of natural language processing techniques. We show that these can be done with high accuracy but that human validation is still necessary. This has resulted in over 9,000 links being added between these two resources.
AB - WordNet is the most widely used lexical resource for English, while Wikidata is one of the largest knowledge graphs of entity and concepts available. While, there is a clear difference in the focus of these two resources, there is also a significant overlap and as such a complete linking of these resources would have many uses. We propose the development of such a linking, first by means of the hapax legomenon links and secondly by the use of natural language processing techniques. We show that these can be done with high accuracy but that human validation is still necessary. This has resulted in over 9,000 links being added between these two resources.
UR - https://www.scopus.com/pages/publications/85116875471
M3 - Conference Publication
T3 - GWC 2021 - Proceedings of the 11th Global Wordnet Conference
SP - 252
EP - 257
BT - GWC 2021 - Proceedings of the 11th Global Wordnet Conference
A2 - Bosch, Sonja
A2 - Fellbaum, Christiane
A2 - Griesel, Marissa
A2 - Rademaker, Alexandre
A2 - Vossen, Piek
PB - Global Wordnet Association
T2 - 11th Global Wordnet Conference, GWC 2021
Y2 - 18 January 2021 through 21 January 2021
ER -