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A Multilingual Dataset for Named Entity Recognition, Entity Linking and Stance Detection in Historical Newspapers
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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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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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 ...
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 ...
Keyword: annotation guidelines, named antity recognition, entity linking, stance detection
URL: https://zenodo.org/record/4574199
https://dx.doi.org/10.5281/zenodo.4574199
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