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Evaluating the performance and improving the usability of parallel and distribu...

Silva, Mateus; Meyer, Vinicius; Kirchoff, Dionatrã; Neto, Joaquim; Vieira, Renata; De Rose, Cesar

The representation of words by means of vectors, also called Word Embeddings (WE), has been receiving great attention from the Natural Language Processing (NLP) field. WE models are able to express syntactic and semantic similarities, as well as relationships and contexts of words within a given corpus. Although the most popular implementations of WE algorithms present low scalability, there are new approaches ...

Date: 2021   |   Origin: Repositório Científico da Universidade de Évora
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