Autores
Herrera González Brian Daniel
Gelbukh Alexander
Calvo Castro Francisco Hiram
Título Automatic Story Generation: State of the Art and Recent Trends
Tipo Congreso
Sub-tipo SCOPUS
Descripción 19th Mexican International Conference on Artificial Intelligence, MICAI 2020
Resumen Throughout history, human beings have used tales as a way of communicating ideas and transmitting knowledge. One of the great advances in this area was obtained thanks to writing, a fact that substantially facilitated the transmission of these stories. Being such an ancient activity in human history, it is not surprising that it has been the object of study of artificial intelligence, from a very early time in the development of the latter, leading, among other things, to the emergence of the automatic generation of stories. The automatic generation of stories has been a challenge that has been sought to be solved using different approaches. This review brings together some of these guidelines for carrying out this endeavour. © 2020, Springer Nature Switzerland AG.
Observaciones Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) v. 12469 DOI 10.1007/978-3-030-60887-3_8
Lugar Ciudad de México
País Mexico
No. de páginas 81-91
Vol. / Cap. 12469 LNAI
Inicio 2020-10-12
Fin 2020-10-17
ISBN/ISSN 9783030608866