Spanish Biomedical and Clinical Language Embeddings

Aitor Gonzalez-Agirre; Asier Guti\'errez-Fandi\~no; Casimiro Pio Carrino; Jordi Armengol-Estap\'e; Marta Villegas; Ona de Gibert

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Spanish Biomedical and Clinical Language Embeddings

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arxiv 2102.12843 v1 pith:UZZBO6ZI submitted 2021-02-25 cs.CL cs.AI

Asier Gutiérrez-Fandiño , Jordi Armengol-Estapé , Casimiro Pio Carrino , Ona De Gibert , Aitor Gonzalez-Agirre , Marta Villegas This is my paper · ORCID

classification cs.CLcs.AI

keywords embeddingsbetterbiomedicalsub-wordwordalgorithmbyteclinical

verification ladder T0 review T1 audit T2 compute T3 formal

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We computed both Word and Sub-word Embeddings using FastText. For Sub-word embeddings we selected Byte Pair Encoding (BPE) algorithm to represent the sub-words. We evaluated the Biomedical Word Embeddings obtaining better results than previous versions showing the implication that with more data, we obtain better representations.

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