In this work, we test masked language models (MLM) fine-tuned for entity matching on real-world literature data. We examine the impact of pre-processing and ...

In this work, we test masked language models (MLM) fine-tuned for entity matching on real-world literature data. We examine the impact of pre-processing and ...

Problem: How to determine entries describing two same real-world entities, in the absence of unique identifiers and with unclean data ...

Sep 25, 2024 · Masked language model entity matching for cultural heritage data ; International Joint Workshop on Semantic Web and Ontology Design for Cultural ...

We compare these two approaches, as well as different variations of MLMs, including some models trained on a different language, and various levels of data ...

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(2023). Comparing Heuristic Rules and Masked Language Models for Entity Alignment in the Literature Domain. Journal on Computing and Cultural Heritage, 16(3), ...

Jul 7, 2022 · It is a reference model for a better practice of data provisioning and aggregation processes, primarily in the cultural heritage sector but also ...

Masked Language Model Entity Matching for Cultural Heritage Data. Piché, D., Font, L., Zouaq, A., & Gagnon, M. Semantic Web and Ontology Design for Cultural ...

Sep 21, 2021 · Masked Language Model Entity Matching for Cultural Heritage Data Dominique Piché, Amal Zouaq, Michel Gagnon, Ludovic Font. Ontology Design.