Данные Валидации

This paper presents a combined super- vised and unsupervised approach for multi- document person name disambiguation. Based on feature vectors reflecting pairwise comparisons between web pages, a classifi- cation algorithm …...

AbstractThis paper presents neural machine translation systems and their combination built for the WMT20 English-Polish and Japanese->English translation tasks. We show that using a Transformer Big architecture, additional training data …...

AbstractIn this work we describe and analyze a supervised learning system for word emphasis selection in phrases drawn from visual media as a part of the Semeval 2020 Shared Task …...

This study focuses on speaker separation, investigating how to successfully separate mixed multiple speech signals. We build upon the efficient end-to-end speech separation model SuDoRM-RF and integrate the Residual Conformer …...

AbstractIn this paper, we describe our approach to the clickbait spoiling task of SemEval 2023.The core idea behind our system is to leverage pre-trained models capable of Question Answering (QA) …...