Semantic change focuses on the study of word usage evolution, where the new meaning of a word is somehow different from the original usage. This paper proposes a linked data model to represent semantic change identified by a distributional semantics approach applied on the Arabic language.
@InProceedings{BAHANSHAL18.1, author = {Alia Bahanshal ,Hend Al-Khalifa and AbdulMalik Al-Salman}, title = {Modeling Semantic Change as Linked Data using Distributional Semantics: A Case on the Arabic Language}, booktitle = {Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)}, year = {2018}, month = {may}, date = {7-12}, location = {Miyazaki, Japan}, editor = {John P. McCrae and Christian Chiarcos and Thierry Declerck and Jorge Gracia and Bettina Klimek}, publisher = {European Language Resources Association (ELRA)}, address = {Paris, France}, isbn = {979-10-95546-19-1}, language = {english} }
Summary of the paper