Refereed article in conference proceedings (A4)

Fine-grained Named Entity Annotation for Finnish

List of Authors: Luoma Jouni, Chang Li-Hsin, Ginter Filip, Pyysalo Sampo

Conference name: Nordic Conference on Computational Linguistics

Publication year: 2021

Journal: Linköping Electronic Conference Proceedings

Book title *: Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)

Title of series: Linköping Electronic Conference Proceedings

Number in series: 178

ISBN: 978-91-7929-614-8

ISSN: 1650-3686


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We introduce a corpus with fine-grained named entity annotation for Finnish, following the OntoNotes guidelines to create a resource that is cross-lingually compatible with existing annotations for other languages. We combine and extend two NER corpora recently introduced for Finnish and revise their custom annotation scheme through a combination of automatic and manual processing steps. The resulting corpus consists of nearly 500,000 tokens annotated for over 50,000 mentions categorized into the 18 OntoNotes name and numeric entity types. We evaluate this resource and demonstrate its compatibility with the English OntoNotes annotations by training state-of-the-art mono-, bi- and multilingual deep learning models, finding both that the corpus allows highly accurate recognition of OntoNotes types at 93\% F-score and that a comparable level of tagging accuracy can be achieved by a bilingual Finnish-English NER model.

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Last updated on 2022-07-04 at 18:30