COLING 2024main2 citations
German SRL: Corpus Construction and Model Training
Maxim Konca, Andy Luecking, Alexander Mehler
Abstract
A useful semantic role-annotated resource for training semantic role models for the German language is missing. We point out some problems of previous resources and provide a new one due to a combined translation and alignment process: The gold standard CoNLL-2012 semantic role annotations are translated into German. Semantic role labels are transferred due to alignment models. The resulting dataset is used to train a German semantic role model. With F1-scores around 0.7, the major roles achieve competitive evaluation scores, but avoid limitations of previous approaches. The described procedure can be applied to other languages as well.
BibTeX
@inproceedings{konca-etal-2024-german,
title = "{G}erman {SRL}: Corpus Construction and Model Training",
author = "Konca, Maxim and
Luecking, Andy and
Mehler, Alexander",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.682/",
pages = "7717--7727"
}