Multilingual

NewsSD-ENG is an English news corpus for sentence-level subjectivity detection, labeled with guidelines that rely on no language-specific tools.

With good machine translation, an English unfair-clause detector for Terms of Service matches detectors trained on new German, Italian, and Polish corpora.

A shared task on telling subjective from objective news sentences in five languages, where 15 teams show what current systems achieve and where they struggle.

LEXTREME gathers 11 legal datasets in 24 languages into one benchmark with a single score, and shows that legal language understanding remains hard.

A three-step method to write subjectivity annotation guidelines that hold across languages, tested on English and Italian news for fact-checking.

The first shared task on telling subjective from objective sentences in six languages, with 9,530 hand-labeled sentences and 12 teams testing current systems.