Conference paper Open Access
A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers
Hamdi, Ahmed; Linhares Pontes, Elvys; Boros, Emanuela; Tuyet Hai Nguyen, Thi; Hackl, Günter; Moreno, Jose G.; Doucet, Antoine
Named entity processing over historical texts is more and more being used due to the massive documents and archives being stored in digital libraries. However, due to the poor annotated resources of historical nature, information extraction performances fall behind those on contemporary texts. In this paper, we introduce the development of the NewsEye resource, a multilingual dataset for named entity recognition and linking enriched with stances towards named entities. The dataset is comprised of diachronic historical newspaper material published between 1850 and 1950 in French, German, Finnish, and Swedish. Such historical resource is essential in the context of developing and evaluating named entity processing systems. It evenly allows enhancing the forcefulness of existing approaches on historical documents which enable adequate and efficient semantic indexing of historical documents on digital cultural heritage collections
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SIGIR_2021_NewsEye_Resource.pdf
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- Publication date:
- April 15, 2021
- DOI:
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- Grants:
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European Commission:
- NewsEye - NewsEye: A Digital Investigator for Historical Newspapers (770299)
- Meeting:
- The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2021), Online, July 11-15, 2021
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International