Datasets:
mdermentzi
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README.md
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# Dataset Card for ehri-ner/ehri-ner-all
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<!-- Provide a quick summary of the dataset. -->
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The European Holocaust Research Infrastructure (EHRI) aims to support Holocaust research by making information
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about dispersed Holocaust material accessible and interconnected through its services. Creating a tool capable of
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detecting named entities in texts such as Holocaust testimonies or archival descriptions would make it easier to
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link more material with relevant identifiers in domain-specific controlled vocabularies, semantically enriching it, and
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making it more discoverable. The EHRI-NER dataset is a multilingual dataset (Czech, German, English, French, Hungarian, Dutch, Polish, Slovak, Yiddish)
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suitable for training domain-specific Named Entity Recognition (NER) models for Holocaust-related texts.
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We have converted all available Extensible Markup Language (XML) files from the EHRI digital scholarly
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editions (i.e., EHRI Online Editions) into a corpus in a format
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suitable for training NER models.
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## Dataset Details
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suitable to be used in this way. However, users should still be mindful that
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our dataset repurposes a resource that was not built for purpose.
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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We encourage potential users to read the paper accompanying this model before deciding to use this dataset for their purposes:
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Dermentzi, M., & Scheithauer, H. (2024, May 21). Repurposing Holocaust-Related Digital Scholarly Editions to Develop Multilingual Domain-Specific Named Entity Recognition Tools. Proceedings of the LREC-COLING 2024 Workshop on Holocaust Testimonies as Language Resources. HTRes@LREC-COLING 2024, Turin, Italy.
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## Citation
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# Dataset Card for ehri-ner/ehri-ner-all
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<!-- Provide a quick summary of the dataset. -->
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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. The EHRI-NER dataset is a multilingual dataset (Czech, German, English, French, Hungarian, Dutch, Polish, Slovak, Yiddish) suitable for training domain-specific Named Entity Recognition (NER) models for Holocaust-related texts.
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We have converted all available Extensible Markup Language (XML) files from the EHRI digital scholarly editions (i.e., EHRI Online Editions) into a corpus in a format suitable for training NER models.
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## Dataset Details
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suitable to be used in this way. However, users should still be mindful that
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our dataset repurposes a resource that was not built for purpose.
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This dataset was put together as part of an EHRI-specific research project and may not be suitable for the purposes of other users/organizations.
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### Recommendations
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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We encourage potential users to read the paper accompanying this model before deciding to use this dataset for their purposes:
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Dermentzi, M., & Scheithauer, H. (2024, May 21). Repurposing Holocaust-Related Digital Scholarly Editions to Develop Multilingual Domain-Specific Named Entity Recognition Tools. Proceedings of the LREC-COLING 2024 Workshop on Holocaust Testimonies as Language Resources. HTRes@LREC-COLING 2024, Turin, Italy.
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## Citation
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