A Corpus of German Abstract Meaning Representation (DeAMR)

Christoph Otto, Jonas Groschwitz, Alexander Koller, Xiulin Yang, Lucia Donatelli

Abstract
We present the first comprehensive set of guidelines for German Abstract Meaning Representation (Deutsche AMR, DeAMR) along with an annotated corpus of 400 DeAMR. Taking English AMR (EnAMR) as our starting point, we propose significant adaptations to faithfully represent the structure and semantics of German, focusing particularly on verb frames, compound words, and modality. We validate our annotation through inter-annotator agreement and further evaluate our corpus with a comparison of structural divergences between EnAMR and DeAMR on parallel sentences, replicating previous work that finds both cases of cross-lingual structural alignment and cases of meaningful linguistic divergence. Finally, we fine-tune state-of-the-art multi-lingual and cross-lingual AMR parsers on our corpus and find that, while our small corpus is insufficient to produce quality output, there is a need to continue develop and evaluate against gold non-English AMR data.
Anthology ID:
2024.lrec-main.26
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:
286–292
Language:
URL:
https://aclanthology.org/2024.lrec-main.26
DOI:
Bibkey:
Cite (ACL):
Christoph Otto, Jonas Groschwitz, Alexander Koller, Xiulin Yang, and Lucia Donatelli. 2024. A Corpus of German Abstract Meaning Representation (DeAMR). In Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), pages 286–292, Torino, Italia. ELRA and ICCL.
Cite (Informal):
A Corpus of German Abstract Meaning Representation (DeAMR) (Otto et al., LREC-COLING 2024)
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https://preview.aclanthology.org/nschneid-patch-4/2024.lrec-main.26.pdf
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