Метрики оценки машинного перевода

This paper presents the system submit- ted by University of Wolverhampton for SemEval-2014 task 1. We proposed a ma- chine learning approach which is based on features extracted using Typed …...

AbstractIn this work, we aim at developing an unsupervised abstractive summarization system in the multi-document setting. We design a paraphrastic sentence fusion model which jointly performs sentence fusion and paraphrasing …...