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 …

Automatic keyword extraction is an important research direction in text mining, natural
language processing and information retrieval. Keyword extraction enables us to represent …

Suicide ideation expressed in social media has an impact on language usage. Many at-risk
individuals use social forum platforms to discuss their problems or get access to information …

An automatic subtitle summarization of videos not only aims to tackle the problem of content
overloading but can also improve the performance of video retrieval, allowing viewers to …

This article is concerned with addressing the problem of coherence in the automatic
summarization of prose fiction texts. Despite the increasing advances within the …

Automatic text summarization is a particularly challenging Natural Language Processing
(NLP) task involving natural language understanding, content selection and natural …

The paper describes the product development methodology, the architecture, the modules
and features of the operating prototype, as well as future challenges of NAVMAT, a naval …

In this work we propose using word embeddings combined with unsupervised methods such
as clustering for the multi-document summarization task of DUC (Document Understanding …

This thesis evaluates 16 meeting summarization approaches, including commercial tools
and large language models (LLMs), across 45 software maintenance meeting topics …

Adéntrate en el fascinante mundo de la revolución digital y descubre cómo cuatro gigantes
tecnológicos—Google, Apple, Facebook y Amazon—han transformado nuestras vidas de …