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Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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Abstract:
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 It evenly allows enhancing the forcefulness of existing approaches on historical documents which enable adequate and efficient semantic indexing of historical documents on digital cultural heritage collections. These are the supplementary materials for the SIGIR 2021 paper A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers. If you end up using whole or parts of this resource, please cite this paper: @inproceedings{Hamdi2021multilingual, title={A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in ...
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Keyword:
Diachronic historical newspaper; Entity linking; Multilingual dataset; Named entity recognition; Stance detection
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URL: https://dx.doi.org/10.5281/zenodo.4573312 https://zenodo.org/record/4573312
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Entity Linking for Historical Documents: Challenges and Solutions
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In: 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020 ; https://hal.archives-ouvertes.fr/hal-03034492 ; 22nd International Conference on Asia-Pacific Digital Libraries, ICADL 2020, 12504, Springer, pp.215-231, 2020, Lecture Notes in Computer Science, 978-3-030-64452-9. ⟨10.1007/978-3-030-64452-9_19⟩ (2020)
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Robust Named Entity Recognition and Linking on Historical Multilingual Documents
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In: Conference and Labs of the Evaluation Forum (CLEF 2020) ; https://hal.archives-ouvertes.fr/hal-03026969 ; Conference and Labs of the Evaluation Forum (CLEF 2020), Sep 2020, Thessaloniki, Greece. pp.1-17, ⟨10.5281/zenodo.4068074⟩ ; http://ceur-ws.org/Vol-2696/paper_171.pdf (2020)
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