{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,4,3]],"date-time":"2022-04-03T16:35:34Z","timestamp":1649003734411},"reference-count":0,"publisher":"IOS Press","license":[{"start":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T00:00:00Z","timestamp":1622073600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,5,27]]},"abstract":"<jats:p>Transfer learning has demonstrated its potential in natural language processing tasks, where models have been pre-trained on large corpora and then tuned to specific tasks. We applied pre-trained transfer models to a Spanish biomedical document classification task. The main goal is to analyze the performance of text classification by clinical specialties using state-of-the-art language models for Spanish, and compared them with the results using corresponding models in English and with the most important pre-trained model for the biomedical domain. The outcomes present interesting perspectives on the performance of language models that are pre-trained for a particular domain. In particular, we found that BioBERT achieved better results on Spanish texts translated into English than the general domain model in Spanish and the state-of-the-art multilingual model.<\/jats:p>","DOI":"10.3233\/shti210184","type":"book-chapter","created":{"date-parts":[[2021,5,27]],"date-time":"2021-05-27T13:04:26Z","timestamp":1622120666000},"source":"Crossref","is-referenced-by-count":1,"title":["Transfer Learning for Classifying Spanish and English Text by Clinical Specialties"],"prefix":"10.3233","author":[{"given":"Alexandra","family":"Pomares-Quimbaya","sequence":"first","affiliation":[{"name":"Pontificia Universidad Javeriana, Bogot\u00e1, Colombia"}]},{"given":"Pilar","family":"L\u00f3pez-\u00dabeda","sequence":"additional","affiliation":[{"name":"Universidad de Ja\u00e9n, Andaluc\u00eda, Spain"}]},{"given":"Stefan","family":"Schulz","sequence":"additional","affiliation":[{"name":"Medical University of Graz, Austria"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Public Health and Informatics"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI210184","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T13:12:24Z","timestamp":1635167544000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI210184"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,27]]},"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti210184","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"value":"0926-9630","type":"print"},{"value":"1879-8365","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,27]]}}}