Conscious Natural Text Generation
Por favor, use este identificador para citar o enlazar este ítem:
http://hdl.handle.net/10045/138195
Título: | Conscious Natural Text Generation |
---|---|
Autor/es: | Lloret, Elena | Suárez Cueto, Armando | Ferrández, Antonio | Martin, Tania Josephine | Martínez-Murillo, Iván | Miró Maestre, María | Moreda, Paloma | Navarro Colorado, Borja | Palomar, Manuel |
Grupo/s de investigación o GITE: | Procesamiento del Lenguaje y Sistemas de Información (GPLSI) |
Centro, Departamento o Servicio: | Universidad de Alicante. Departamento de Lenguajes y Sistemas Informáticos |
Palabras clave: | Human Language Technologies | Natural Language Processing | Natural Language Generation | Commonsense | World Knowledge | Artificial Intelligence |
Fecha de publicación: | 23-oct-2023 |
Editor: | CEUR |
Cita bibliográfica: | SEPLN-PD 2023: Annual Conference of the Spanish Association for Natural Language Processing 2023: Projects and System Demonstrations, Jaén, Spain, September 27-29, 2023. CEUR Workshop Proceedings, Vol-3516 |
Resumen: | The “Conscious Natural Text Generation” project (CORTEX, grant ref. PID2021-123956OB-I00) investigates how Natural Language Generation (NLG) architectures can be improved so that they can exploit external and commonsense knowledge, and integrate it in a controllable manner (i.e., determining what knowledge to include and how to include it) when generating new text. Our main scientific objective is, therefore, to investigate and propose novel NLG architectures that integrate different types of knowledge to automatically produce reliable, truthful and quality texts, whose information complies with the principles of objectivity and plurality, thereby minimizing bias or manipulated content. The new generation of NLG systems obtained from CORTEX will significantly improve the semantic quality of the generated text, preventing, among other phenomena, the inclusion of invented facts that do not match reality (i.e., hallucination). |
Patrocinador/es: | This research work is part of the R&D project CORTEX: Conscious Natural Text Generation (PID2021-123956OB-I00), funded by MCIN/ AEI/10.13039/501100011033/ and by “ERDF A way of making Europe”. |
URI: | http://hdl.handle.net/10045/138195 |
ISSN: | 1613-0073 |
Idioma: | eng |
Tipo: | info:eu-repo/semantics/conferenceObject |
Derechos: | © 2023 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). |
Revisión científica: | si |
Versión del editor: | https://ceur-ws.org/Vol-3516/ |
Aparece en las colecciones: | INV - GPLSI - Comunicaciones a Congresos, Conferencias, etc. |
Archivos en este ítem:
Archivo | Descripción | Tamaño | Formato | |
---|---|---|---|---|
Lloret_etal_SEPLN-PD2023.pdf | 1,05 MB | Adobe PDF | Abrir Vista previa | |
Todos los documentos en RUA están protegidos por derechos de autor. Algunos derechos reservados.