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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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| Publicado no: | PLoS One |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7001927/ https://ncbi.nlm.nih.gov/pubmed/32023289 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0227930 |
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