Search Results for author: Eneldo Loza Menc{\'\i}a

Found 6 papers, 0 papers with code

A Data Set for the Analysis of Text Quality Dimensions in Summarization Evaluation

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.

Which Scores to Predict in Sentence Regression for Text Summarization?

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.

regression Sentence +1

Sequential Clustering and Contextual Importance Measures for Incremental Update Summarization

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.

Clustering

Medical Concept Embeddings via Labeled Background Corpora

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.

Word Similarity

Cannot find the paper you are looking for? You can Submit a new open access paper.