Fine-grained Named Entity Annotation for Finnish.
Jouni Luoma, Li‐Hsin Chang, Filip Ginter, Sampo Pyysalo · DSpace repository (University of Tartu) · 2021
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 resources 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 18 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 tagging at 93% F-score and that a comparable level of performance can be achieved by a bilingual Finnish-English NER model. 1