Papers by Josef Steinberger

1 papers
Czech Dataset for Cross-lingual Subjectivity Classification (2022.lrec-1)

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Challenge: Using the existing English dataset, we can use the subjectivity classification to test the ability of pre-trained multilingual models to transfer knowledge between languages.
Approach: They propose to use a Czech subjectivity dataset of 10k manually annotated subjective and objective sentences as a cross-lingual benchmark.
Outcome: The proposed dataset is the first subjectivity dataset for the Czech language and also includes 200k automatically labeled sentences.

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