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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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Gado2: multilingual newspapers from the Netherlands Indies ...
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Gado2: multilingual newspapers from the Netherlands Indies ...
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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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Gado2: multilingual newspapers from the Netherlands Indies ...
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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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Gado2: multilingual newspapers from the Netherlands Indies ...
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MEDDOPROF guidelines ...
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Abstract:
The MEDDOPROF Shared Task tackles the detection of occupations and employment statuses in clinical cases in Spanish from different specialties. Systems capable of automatically processing clinical texts are of interest to the medical community, social workers, researchers, the pharmaceutical industry, computer engineers, AI developers, policy makers, citizen’s associations and patients. Additionally, other NLP tasks (such as anonymization) can also benefit from this type of data. These guidelines describe the process followed by the clinical and linguist experts who manually annotated the MEDDOPROF corpus, and a series of rules for annotating occupations in clinical texts. Annotation quality: We have performed a consistency analysis of the corpus. ~10% of the documents have been annotated by an internal annotator as well as by the linguist experts following these annotation guidelines. The average Inter-Annotator Agreement (pairwise agreement) after multiple rounds is around 0.9. Please cite if you use this ...
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Keyword:
annotation guidelines; clinical NLP; employment status; entity linking; medical NLP; named entiity recognition; NLP; occupations; professions
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URL: https://zenodo.org/record/4694675 https://dx.doi.org/10.5281/zenodo.4694675
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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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Linking Named Entities across Languages using Multilingual Word Embeddings ...
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