Natural language generation (NLG) is a subfield of natural language processing (NLP) that is often characterized as the study of automatically converting non-linguistic representations (e.g., from databases or other knowledge sources) into coherent natural language text. NLG is useful for many practical applications, ranging from automatically generated weather forecasts to summarizing medical information in a patient-friendly way, but is also interesting from a theoretical perspective, as it offers new, computational insights into the process of human language production in general. Sometimes, NLG is framed as the mirror image of natural language understanding (NLU), but in fact the respective problems and solutions are rather dissimilar: while NLU is basically a disambiguation problem, where ambiguous natural language inputs are mapped onto unambiguous representations, NLG is more like a choice problem, where it has to be decided which words and sentences best express certain specific concepts.
Páginas : 363
Peso : 4mb.
Formato : PDF.
Edición : 1st Edition
Año de Publicación :2000
ISBN : 978-3642155727
Editorial : Springer
Autor: Emiel Krahmer, Mariet Theune
Descargar / Download
| DEPOSITFILES | RAPIDGATOR | UPLOADED | FREAKSHARE | UPLOADSTATION |
0 comentarios:
Publicar un comentario