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...

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Detalles Bibliográficos
Autores principales: Al Sulaiman, Mansour, Moussa, Abdullah M., Abdou, Sherif, Elgibreen, Hebah, Faisal, Mohammed, Rashwan, Mohsen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
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

Internet

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

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