A flexible architecture using temporal, spatial and semantic correlation-based algorithms for story segmentation of broadcast news

In this article, we propose a novel flexible architec- ture, with different algorithmic procedures, for effective story segmentation of broadcast news from subtitle files. The proposed system exploits spatial and temporal distance, as well as sentence similarity, to classify different stories in new...

Descripción completa

Detalles Bibliográficos
Autores: Palomo Alonso, Alberto, Casillas Pérez, David|||0000-0002-5721-1242, Jiménez Fernández, Silvia|||0000-0002-2065-1754, Portilla Figueras, José Antonio|||0000-0001-6569-6780, Salcedo Sanz, Sancho|||0000-0002-4048-1676
Tipo de recurso: artículo
Fecha de publicación:2023
País:España
Institución:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/60854
Acceso en línea:http://hdl.handle.net/10017/60854
https://dx.doi.org/10.1109/TASLP.2023.3301231
Access Level:acceso abierto
Palabra clave:Natural language processing
Correlation matrix
BERT
Video text track
Telecomunicaciones
Telecommunication
id ES_aa71d85e111edcd5101504b6fc5ea87b
oai_identifier_str oai:ebuah.uah.es:10017/60854
network_acronym_str ES
network_name_str España
repository_id_str
spelling A flexible architecture using temporal, spatial and semantic correlation-based algorithms for story segmentation of broadcast newsPalomo Alonso, AlbertoCasillas Pérez, David|||0000-0002-5721-1242Jiménez Fernández, Silvia|||0000-0002-2065-1754Portilla Figueras, José Antonio|||0000-0001-6569-6780Salcedo Sanz, Sancho|||0000-0002-4048-1676Natural language processingCorrelation matrixBERTVideo text trackTelecomunicacionesTelecommunicationIn this article, we propose a novel flexible architec- ture, with different algorithmic procedures, for effective story segmentation of broadcast news from subtitle files. The proposed system exploits spatial and temporal distance, as well as sentence similarity, to classify different stories in news broadcasts. The com- putational algorithms which form the architecture mainly focus on each sentence?s features (temporal distance, spatial distance, and semantic similarity), and are combined to build an overall classifier. The first algorithm in the architecture focuses on the segmentation task, detecting boundaries between news. The second and third algorithms identify high semantic correlation between pieces of text, whether they are consecutive in space or not. Video Text Track (VTT) subtitle files are used to evaluate the performance of the proposed approach, although any file format that includes temporal information could also be considered. These VTT files may contain text errors and inaccuracies, and the proposed algorithms have been designed to deal with noisy content.Agencia Estatal de InvestigaciónIEEE20232023-08-11journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/60854https://dx.doi.org/10.1109/TASLP.2023.3301231reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)InglésengAgencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-115454GB-C21 NUEVOS ALGORITMOS NEURO-EVOLUTIVOS PARA CLASIFICACION ORDINAL: APLICACIONES EN CLIMA, ENERGIAS LIMPIAS Y MEDIO AMBIENTEopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/608542026-06-18T11:13:07Z
dc.title.none.fl_str_mv A flexible architecture using temporal, spatial and semantic correlation-based algorithms for story segmentation of broadcast news
title A flexible architecture using temporal, spatial and semantic correlation-based algorithms for story segmentation of broadcast news
spellingShingle A flexible architecture using temporal, spatial and semantic correlation-based algorithms for story segmentation of broadcast news
Palomo Alonso, Alberto
Natural language processing
Correlation matrix
BERT
Video text track
Telecomunicaciones
Telecommunication
title_short A flexible architecture using temporal, spatial and semantic correlation-based algorithms for story segmentation of broadcast news
title_full A flexible architecture using temporal, spatial and semantic correlation-based algorithms for story segmentation of broadcast news
title_fullStr A flexible architecture using temporal, spatial and semantic correlation-based algorithms for story segmentation of broadcast news
title_full_unstemmed A flexible architecture using temporal, spatial and semantic correlation-based algorithms for story segmentation of broadcast news
title_sort A flexible architecture using temporal, spatial and semantic correlation-based algorithms for story segmentation of broadcast news
dc.creator.none.fl_str_mv Palomo Alonso, Alberto
Casillas Pérez, David|||0000-0002-5721-1242
Jiménez Fernández, Silvia|||0000-0002-2065-1754
Portilla Figueras, José Antonio|||0000-0001-6569-6780
Salcedo Sanz, Sancho|||0000-0002-4048-1676
author Palomo Alonso, Alberto
author_facet Palomo Alonso, Alberto
Casillas Pérez, David|||0000-0002-5721-1242
Jiménez Fernández, Silvia|||0000-0002-2065-1754
Portilla Figueras, José Antonio|||0000-0001-6569-6780
Salcedo Sanz, Sancho|||0000-0002-4048-1676
author_role author
author2 Casillas Pérez, David|||0000-0002-5721-1242
Jiménez Fernández, Silvia|||0000-0002-2065-1754
Portilla Figueras, José Antonio|||0000-0001-6569-6780
Salcedo Sanz, Sancho|||0000-0002-4048-1676
author2_role author
author
author
author
dc.subject.none.fl_str_mv Natural language processing
Correlation matrix
BERT
Video text track
Telecomunicaciones
Telecommunication
topic Natural language processing
Correlation matrix
BERT
Video text track
Telecomunicaciones
Telecommunication
description In this article, we propose a novel flexible architec- ture, with different algorithmic procedures, for effective story segmentation of broadcast news from subtitle files. The proposed system exploits spatial and temporal distance, as well as sentence similarity, to classify different stories in news broadcasts. The com- putational algorithms which form the architecture mainly focus on each sentence?s features (temporal distance, spatial distance, and semantic similarity), and are combined to build an overall classifier. The first algorithm in the architecture focuses on the segmentation task, detecting boundaries between news. The second and third algorithms identify high semantic correlation between pieces of text, whether they are consecutive in space or not. Video Text Track (VTT) subtitle files are used to evaluate the performance of the proposed approach, although any file format that includes temporal information could also be considered. These VTT files may contain text errors and inaccuracies, and the proposed algorithms have been designed to deal with noisy content.
publishDate 2023
dc.date.none.fl_str_mv 2023
2023-08-11
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/60854
https://dx.doi.org/10.1109/TASLP.2023.3301231
url http://hdl.handle.net/10017/60854
https://dx.doi.org/10.1109/TASLP.2023.3301231
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Agencia Estatal de Investigación http://dx.doi.org/10.13039/501100011033 Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020 PID2020-115454GB-C21 NUEVOS ALGORITMOS NEURO-EVOLUTIVOS PARA CLASIFICACION ORDINAL: APLICACIONES EN CLIMA, ENERGIAS LIMPIAS Y MEDIO AMBIENTE
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv IEEE
publisher.none.fl_str_mv IEEE
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869416182256238592
score 15.300724

Similares en LA Referencia