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Semantic Textual Similarity in Japanese Clinical Domain Texts Using BERT
Background Semantic textual similarity (STS) captures the degree of semantic similarity between texts. It plays an important role in many natural language processing applications such as text summarization, question answering, machine translation, information retrieval, dialog systems, plagiarism d...
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| Publicado no: | Methods Inf Med |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Georg Thieme Verlag KG
2021
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| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8294940/ https://ncbi.nlm.nih.gov/pubmed/34237783 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1055/s-0041-1731390 |
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