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... > information entity > theoretical entity > model > computational model > distributional model > word embedding

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word embedding  

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Definición

  • "Word embeddings are low-dimensional numeric representations of words generated by artificial intelligence (AI) methods that capture word co-occurrence statistics. The assumption in these models is that words located in close proximity to one another in the vector space are semantically similar. The similarity between two word meanings, such as “plate" and “bowl", can be quantified by taking the cosine distance between the corresponding vectors in the model." (Calistan & Lewis, 2020, p. 3).

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Creador

  • Frank Arnould

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URI

http://data.loterre.fr/ark:/67375/P66-M75L9P53-N

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RDF/XML TURTLE JSON-LD Creado 8/6/21, última modificación 4/9/23