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Semantic textual similarity for modern standard and dialectal Arabic using transfer learning
Semantic Textual Similarity (STS) is the task of identifying the semantic correlation between two sentences of the same or different languages. STS is an important task in natural language processing because it has many applications in different domains such as information retrieval, machine transla...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9371328/ https://www.ncbi.nlm.nih.gov/pubmed/35951673 http://dx.doi.org/10.1371/journal.pone.0272991 |