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Atténuer les erreurs de numérisation dans la reconnaissance d'entités nommées pour les documents historiques
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In: Conférence en Recherche d'Informations et Applications (CORIA 2021) ; https://hal.archives-ouvertes.fr/hal-03320332 ; Conférence en Recherche d'Informations et Applications (CORIA 2021), ARIA : Association Francophone de Recherche d’Information (RI) et Applications, Apr 2021, Grenoble (virtuel), France. pp.1 - 7 ; http://coria.asso-aria.org/2021/articles/mini_24/main.pdf (2021)
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A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers
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In: SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval ; https://hal.archives-ouvertes.fr/hal-03418387 ; SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Jul 2021, Virtual Event, Canada. pp.2328-2334, ⟨10.1145/3404835.3463255⟩ (2021)
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MELHISSA: a multilingual entity linking architecture for historical press articles ...
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MELHISSA: a multilingual entity linking architecture for historical press articles ...
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Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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Annotation Guidelines for Named Entity Recognition, Entity Linking and Stance Detection ...
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Abstract:
We describe the NewsEye annotation guidelines for named entity recognition, entity linking and stance detection. While the part of the guidelines on stance detection annotation is new, these guidelines are derived from Impresso NE annotation guidelines which are derived from Quaero guidelines. Originally designed for the annotation of “extended” named entities (i.e. more than the 3 or 4 traditional classes) in French speech transcriptions, Quaero guidelines have furthermore been used on historic press corpora. Impresso guidelines main’s difference with respect to Quaero’s is reduction : only a subset of Quaero entity types and components are considered, as well as a subset of linguistic units eligible as named entities. These adaptations result from what we deemed most relevant to annotate in our context, and from time and resource constraints. Despite these adaptations, impresso annotated corpora will mostly remain compatible with Quaero guidelines. These guidelines allowed building a multilingual dataset ...
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Keyword:
annotation guidelines, named antity recognition, entity linking, stance detection
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URL: https://zenodo.org/record/4574198 https://dx.doi.org/10.5281/zenodo.4574198
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Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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Annotation Guidelines for Named Entity Recognition, Entity Linking and Stance Detection ...
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A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers ...
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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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Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
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Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
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Benchmark for the evaluation of named entity recognition over ancient documents ...
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Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
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Benchmark for the evaluation of named entity recognition over ancient documents ...
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Robust Named Entity Recognition and Linking on Historical Multilingual Documents ...
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Alleviating Digitization Errors in Named Entity Recognition for Historical Documents ...
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Alleviating Digitization Errors in Named Entity Recognition for Historical Documents ...
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