Talk @Semantics 2021

Annotating Entities with Fine-Grained Types in Austrian Court Decisions

Speaker: Artem Revenko

The usage of Named Entity Recognition tools on domain specific corpora is often hampered by insufficient training data. We investigate an approach to produce fine-grained named entity annotations from a small training dataset to later apply it on a large corpus of Austrian court decisions. We apply general purpose Named Entity Recognition model to produce annotations of common coarse-grained types. Next, a small sample of these annotations are manually annotated by domain experts to produce initial fine-grained training datset.