| Título |
Automatic Text Generation by Learning from Literary Structures |
| Tipo |
Revista |
| Sub-tipo |
Indefinido |
| Descripción |
Proceedings of the Fifth Workshop on Computational Linguistics for Literature, CLfL@NAACL-HLT
|
| Resumen |
Most of the work dealing with automatic story production
is based on a generic architecture for text generation;
however, the resulting stories still lack a style
that can be called literary. We believe that in order to
generate automatically stories that could be compared
with those by human authors, a specific methodology
for fiction text generation should be defined. We also
believe that it is essential for a story to convey the effect
of originality to the person who is reading it. Our
methodology proposes corpus-based generation of stories
that could be called creative and also have a style
similar to human fiction texts. We also show how these
stories have plausible syntax and coherence, and are
perceived as interesting by human evaluators. |
| Observaciones |
https://www.aclweb.org/anthology/W/W16/W16-0202.pdf |
| Lugar |
San Diego, California |
| País |
Estados Unidos |
| No. de páginas |
9-19 |
| Vol. / Cap. |
|
| Inicio |
2016-06-16 |
| Fin |
|
| ISBN/ISSN |
|
