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Communication Dans Un Congrès Année : 2024

A Dataset for Named Entity Recognition and Entity Linking in Chinese Historical Newspapers

Résumé

In this study, we present a novel historical Chinese dataset for named entity recognition, entity linking, coreference and entity relations. We use data from Chinese newspapers from 1872 to 1949 and multilingual bibliographic resources from the same period. The period and the language are the main strength of the present work, offering a resource which covers different styles and language uses, as well as the largest historical Chinese NER dataset with manual annotations from this transitional period. After detailing the selection and annotation process, we present the very first results that can be obtained from this dataset. Texts and annotations are freely downloadable from the GitHub repository.
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Dates et versions

hal-04618204 , version 1 (21-06-2024)

Identifiants

  • HAL Id : hal-04618204 , version 1

Citer

Baptiste Blouin, Cécile Armand, Christian Henriot. A Dataset for Named Entity Recognition and Entity Linking in Chinese Historical Newspapers. LREC-COLING 2024, May 2024, Turin (Italie), Italy. pp.385-394. ⟨hal-04618204⟩
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