SAO2Vec: Development of an algorithm for embedding the subject–action–object (SAO) structure using Doc2Vec

In natural-language processing, the subject–action–object (SAO) structure is used to convert unstructured textual data into structured textual data comprising subjects, actions, and objects. This structure is suitable for analyzing the key elements of technology, as well as the relationships between...

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Detalles Bibliográficos
Autores principales: Kim, Sunhye, Park, Inchae, Yoon, Byungun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7001927/
https://www.ncbi.nlm.nih.gov/pubmed/32023289
http://dx.doi.org/10.1371/journal.pone.0227930

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7001927/
https://www.ncbi.nlm.nih.gov/pubmed/32023289
http://dx.doi.org/10.1371/journal.pone.0227930

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