• Corpus ID: 237513823

Matching with Transformers in MELT

  title={Matching with Transformers in MELT},
  author={Sven Hertling and Jan Portisch and Heiko Paulheim},
One of the strongest signals for automated matching of ontologies and knowledge graphs are the textual descriptions of the concepts. The methods that are typically applied (such as characteror token-based comparisons) are relatively simple, and therefore do not capture the actual meaning of the texts. With the rise of transformer-based language models, text comparison based on meaning (rather than lexical features) is possible. In this paper, we model the ontology matching task as… 

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