SICK-NL: A Dataset for Dutch Natural Language Inference

Gijs Wijnholds, Michael Moortgat


Abstract
We present SICK-NL (read: signal), a dataset targeting Natural Language Inference in Dutch. SICK-NL is obtained by translating the SICK dataset of (Marelli et al., 2014) from English into Dutch. Having a parallel inference dataset allows us to compare both monolingual and multilingual NLP models for English and Dutch on the two tasks. In the paper, we motivate and detail the translation process, perform a baseline evaluation on both the original SICK dataset and its Dutch incarnation SICK-NL, taking inspiration from Dutch skipgram embeddings and contextualised embedding models. In addition, we encapsulate two phenomena encountered in the translation to formulate stress tests and verify how well the Dutch models capture syntactic restructurings that do not affect semantics. Our main finding is all models perform worse on SICK-NL than on SICK, indicating that the Dutch dataset is more challenging than the English original. Results on the stress tests show that models don’t fully capture word order freedom in Dutch, warranting future systematic studies.
Anthology ID:
2021.eacl-main.126
Volume:
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
Month:
April
Year:
2021
Address:
Online
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1474–1479
Language:
URL:
https://aclanthology.org/2021.eacl-main.126
DOI:
10.18653/v1/2021.eacl-main.126
Bibkey:
Cite (ACL):
Gijs Wijnholds and Michael Moortgat. 2021. SICK-NL: A Dataset for Dutch Natural Language Inference. In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, pages 1474–1479, Online. Association for Computational Linguistics.
Cite (Informal):
SICK-NL: A Dataset for Dutch Natural Language Inference (Wijnholds & Moortgat, EACL 2021)
Copy Citation:
PDF:
https://aclanthology.org/2021.eacl-main.126.pdf
Dataset:
 2021.eacl-main.126.Dataset.zip
Software:
 2021.eacl-main.126.Software.zip
Code
 gijswijnholds/sick_nl
Data
SICKSNLI