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Understanding the spatial dimension of natural language by measuring the spatial semantic similarity of words through a scalable geospatial context window
Measuring the semantic similarity between words is important for natural language processing tasks. The traditional models of semantic similarity perform well in most cases, but when dealing with words that involve geographical context, spatial semantics of implied spatial information are rarely pre...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7377466/ https://www.ncbi.nlm.nih.gov/pubmed/32702022 http://dx.doi.org/10.1371/journal.pone.0236347 |