Comparando embeddings contextuais no problema de busca de similaridade semântica em português
Semantic textual similarity (STS) is a natural language processing problem that aims to measure how similar two pairs of sentences are semantically. This problem has been gaining great attention both in the industry, through the development of several textual recommendation systems, and in academia,...
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| פורמט: | bachelorThesis |
| שפה: | pt_BR |
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Universidade Federal do Rio Grande do Norte
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| גישה מקוונת: | https://repositorio.ufrn.br/handle/123456789/43620 |
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