Search Results for author: Ines Reinig

Found 2 papers, 2 papers with code

Can current NLI systems handle German word order? Investigating language model performance on a new German challenge set of minimal pairs

1 code implementation7 Jun 2023 Ines Reinig, Katja Markert

We create WOGLI (Word Order in German Language Inference), the first adversarial NLI dataset for German word order that has the following properties: (i) each premise has an entailed and a non-entailed hypothesis; (ii) premise and hypotheses differ only in word order and necessary morphological changes to mark case and number.

Data Augmentation Language Modelling +1

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