X-PARADE: Cross-Lingual Textual Entailment and Information Divergence across Paragraphs

arXiv:2309.08873v2 Announce Type: replace
Abstract: Understanding when two pieces of text convey the same information is a goal touching many subproblems in NLP, including textual entailment and fact-checking. This problem becomes more complex when those two pieces of text are in different languages. Here, we introduce X-PARADE (Cross-lingual Paragraph-level Analysis of Divergences and Entailments), the first cross-lingual dataset of paragraph-level information divergences. Annotators label a paragraph in a target language at the span level and evaluate it with respect to …

abstract analysis arxiv cross-lingual cs.cl divergence fact-checking information languages nlp text textual type understanding