Master’s Thesis Presentation • Machine Learning — Cross-Lingual Entity Matching for Knowledge Graphs
Please note: This master’s thesis presentation will be given online.
Hsiu-Wei Yang, Master’s candidate
David R. Cheriton School of Computer Science
Supervisor: Professor Jimmy Lin
Multilingual knowledge graphs (KGs), such as YAGO and DBpedia, represent entities in different languages. The task of cross-lingual entity matching is to align entities in a source language with their counterparts in target languages.