no code implementations • LREC 2020 • Margot Mieskes, Eneldo Loza Menc{\'\i}a, Tim Kronsbein
Automatic evaluation of summarization focuses on developing a metric to represent the quality of the resulting text.
no code implementations • NAACL 2018 • Markus Zopf, Eneldo Loza Menc{\'\i}a, Johannes F{\"u}rnkranz
The task of automatic text summarization is to generate a short text that summarizes the most important information in a given set of documents.
no code implementations • COLING 2016 • Markus Zopf, Eneldo Loza Menc{\'\i}a, Johannes F{\"u}rnkranz
In this paper, we propose a combination of sequential clustering and contextual importance measures to identify important sentences in a stream of documents in a timely manner.
no code implementations • LREC 2016 • Eneldo Loza Menc{\'\i}a, Gerard de Melo, Jinseok Nam
In recent years, we have seen an increasing amount of interest in low-dimensional vector representations of words.