Кросс-лингвистикалық мәтін классификациясы

Representing documents by vectors that are independent of language enhances machine translation and multilingual text categoriza- tion. We use discriminative training to create a projection of documents from multiple lan- …...

Cross-lingual text classification is a major challenge in natural language processing, since often training data is available in only one language (target language), but not avail- able for the language …...

AbstractCross-lingual text classification(CLTC) is the task of classifying documents written in different languages into the same taxonomy of categories. This paper presents a novel approach to CLTC that builds on …...

AbstractHeuristic-based active learning (AL) methods are limited when the data distribution of the underlying learning problems vary. Recent data-driven AL policy learning methods are also restricted to learn from closely …...

AbstractIn-context learning (ICL) unfolds as large language models become capable of inferring test labels conditioned on a few labeled samples without any gradient update. ICL-enabled large language models provide a …...