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

REVIEW

Spanish Biomedical and Clinical Language Embeddings

Not yet reviewed by Pith; the record is open.

Re-run · record.json Download PDF Read on arXiv ↗

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

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

classification cs.CLcs.AI

keywords embeddingsbetterbiomedicalsub-wordwordalgorithmbyteclinical

verification ladder T0 review T1 audit T2 compute T3 formal

0 comments

read the original abstract

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.

Discussion (0). Sign in to comment.

Pith tools