Abstract Evaluation is crucial in the research and development of automatic summarization
applications, in order to determine the appropriateness of a summary based on different …

ROUGE is a widely adopted, automatic evaluation measure for text summarization. While it
has been shown to correlate well with human judgements, it is biased towards surface …

In this paper, we propose a novel extraction based method for multi-document
summarization that covers three important features of a good summary: coverage, non …

Human evaluation for summarization tasks is reliable but brings in issues of reproducibility
and high costs. Automatic metrics are cheap and reproducible but sometimes poorly …

This survey investigates several research studies that have been conducted in the field of
Arabic text summarization. Specifically, it addresses summarization and evaluation methods …

Reference-based metrics such as ROUGE or BERTScore evaluate the content quality of a
summary by comparing the summary to a reference. Ideally, this comparison should …

User interface (UI) design is a difficult yet important task for ensuring the usability,
accessibility, and aesthetic qualities of applications. In our paper, we develop a machine …

Abstract Language resources are important for those working on computational methods to
analyse and study languages. These resources are needed to help advancing the research …

Multidocument summarization addresses the selection of a compact subset of highly
informative sentences, ie, the summary, from a collection of textual documents. To perform …

Abstract The Evaluation of Text Summaries (ETS) has been a task of constant challenges to
the development of Automatic Text Summarization (ATS). Within the ATS task, the ETS is …