Aligning the Norwegian UD Treebank with Entity and Coreference Information

Tollef Emil Jørgensen, Andre Kåsen


Abstract
This paper presents a merged collection of entity and coreference annotated data grounded in the Universal Dependencies (UD) treebanks for the two written forms of Norwegian: Bokmål and Nynorsk. The aligned and converted corpora are the Norwegian Named Entities (NorNE) and Norwegian Anaphora Resolution Corpus (NARC). While NorNE is aligned with an older version of the treebank, NARC is misaligned and requires extensive transformation from the original annotations to the UD structure and CoNLL-U format. Here, we demonstrate the conversion and alignment processes, along with an analysis of discovered issues and errors in the data, some of which include data split overlaps in the original treebank. These procedures and the developed system may prove helpful for future work on processing and aligning data from universal dependencies. The merged corpora comprise the first Norwegian UD treebank enriched with named entities and coreference information, supporting the standardized format for the CorefUD initiative.
Anthology ID:
2024.lrec-main.62
Volume:
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
Month:
May
Year:
2024
Address:
Torino, Italia
Editors:
Nicoletta Calzolari, Min-Yen Kan, Veronique Hoste, Alessandro Lenci, Sakriani Sakti, Nianwen Xue
Venues:
LREC | COLING
SIG:
Publisher:
ELRA and ICCL
Note:
Pages:
704–710
Language:
URL:
https://aclanthology.org/2024.lrec-main.62
DOI:
Bibkey:
Cite (ACL):
Tollef Emil Jørgensen and Andre Kåsen. 2024. Aligning the Norwegian UD Treebank with Entity and Coreference Information. In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 704–710, Torino, Italia. ELRA and ICCL.
Cite (Informal):
Aligning the Norwegian UD Treebank with Entity and Coreference Information (Jørgensen & Kåsen, LREC-COLING 2024)
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PDF:
https://aclanthology.org/2024.lrec-main.62.pdf