Abstract
In this paper, we present an upgraded version of the Hungarian NYTK-NerKor named entity corpus, which contains about twice as many annotated spans and 7 times as many distinct entity types as the original version. We used an extended version of the OntoNotes 5 annotation scheme including time and numerical expressions. NerKor is the newest and biggest NER corpus for Hungarian containing diverse domains. We applied cross-lingual transfer of NER models trained for other languages based on multilingual contextual language models to preannotate the corpus. We corrected the annotation semi-automatically and manually. Zero-shot preannotation was very effective with about 0.82 F1 score for the best model. We also added a 12000-token subcorpus on cars and other motor vehicles. We trained and release a transformer-based NER tagger for Hungarian using the annotation in the new corpus version, which provides similar performance to an identical model trained on the original version of the corpus.- Anthology ID:
- 2022.lrec-1.203
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 1907–1916
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.203
- DOI:
- Cite (ACL):
- Attila Novák and Borbála Novák. 2022. NerKor+Cars-OntoNotes++. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 1907–1916, Marseille, France. European Language Resources Association.
- Cite (Informal):
- NerKor+Cars-OntoNotes++ (Novák & Novák, LREC 2022)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-1/2022.lrec-1.203.pdf
- Code
- ppke-nlpg/nytk-nerkor-cars-ontonotespp
- Data
- DaN+, GENIA, NNE