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Communication Dans Un Congrès Année : 2024

Repurposing Holocaust-Related Digital Scholarly Editions to Develop Multilingual Domain-Specific Named Entity Recognition Tools

Résumé

The European Holocaust Research Infrastructure (EHRI) aims to support Holocaust research by making information about dispersed Holocaust material accessible and interconnected through its services. Creating a tool capable of detecting named entities in texts such as Holocaust testimonies or archival descriptions would make it easier to link more material with relevant identifiers in domain-specific controlled vocabularies, semantically enriching it, and making it more discoverable. With this paper, we release EHRI-NER, a multilingual dataset (Czech, German, English, French, Hungarian, Dutch, Polish, Slovak, Yiddish) for Named Entity Recognition (NER) in Holocaust-related texts. EHRI-NER is built by aggregating all the annotated documents in the EHRI Online Editions and converting them to a format suitable for training NER models. We leverage this dataset to fine-tune the multilingual Transformer-based language model XLM-RoBERTa (XLM-R) to determine whether a single model can be trained to recognize entities across different document types and languages. The results of our experiments show that despite our relatively small dataset, in a multilingual experiment setup, the overall F1 score achieved by XLM-R fine-tuned on multilingual annotations is 81.5\%. We argue that this score is sufficiently high to consider the next steps towards deploying this model.
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Dates et versions

hal-04547222 , version 1 (15-04-2024)

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Paternité

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  • HAL Id : hal-04547222 , version 1

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Maria Dermentzi, Hugo Scheithauer. Repurposing Holocaust-Related Digital Scholarly Editions to Develop Multilingual Domain-Specific Named Entity Recognition Tools. LREC-COLING 2024 - Joint International Conference on Computational Linguistics, Language Resources and Evaluation, ELRA Language Resources Association (ELRA); International Committee on Computational Linguistics (ICCL), May 2024, Torino, Italy. ⟨hal-04547222⟩
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