Papers by Luciana Bencke

1 papers
InferBR: A Natural Language Inference Dataset in Portuguese (2024.lrec-main)

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Challenge: Portuguese has few NLI-annotated datasets created through automatic translation followed by manual checking.
Approach: They propose to generate premises and hypotheses using a semiautomatic process to generate sentences and manually check the annotations.
Outcome: The proposed dataset is better at recognizing entailment classes in other Portuguese datasets than the reverse.

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