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Found 18 papers, 3 papers with code
Pretrained Biomedical Language Models for Clinical NLP in Spanish
This work presents the first large-scale biomedical Spanish language models trained from scratch, using large biomedical corpora consisting of a total of 1. 1B tokens and an EHR corpus of 95M tokens.
Spanish Legalese Language Model and Corpora
There are many Language Models for the English language according to its worldwide relevance.
Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models
We introduce CoWeSe (the Corpus Web Salud Espa\~nol), the largest Spanish biomedical corpus to date, consisting of 4. 5GB (about 750M tokens) of clean plain text.
Biomedical and Clinical Language Models for Spanish: On the Benefits of Domain-Specific Pretraining in a Mid-Resource Scenario
To the best of our knowledge, we provide the first biomedical and clinical transformer-based pretrained language models for Spanish, intending to boost native Spanish NLP applications in biomedicine.
Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan
For this, we: (1) build a clean, high-quality textual Catalan corpus (CaText), the largest to date (but only a fraction of the usual size of the previous work in monolingual language models), (2) train a Transformer-based language model for Catalan (BERTa), and (3) devise a thorough evaluation in a diversity of settings, comprising a complete array of downstream tasks, namely, Part of Speech Tagging, Named Entity Recognition and Classification, Text Classification, Question Answering, and Semantic Textual Similarity, with most of the corresponding datasets being created ex novo.
MarIA: Spanish Language Models
This work presents MarIA, a family of Spanish language models and associated resources made available to the industry and the research community.
Spanish Biomedical and Clinical Language Embeddings
We computed both Word and Sub-word Embeddings using FastText.
PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track
We foresee that the PharmaCoNER annotation guidelines, corpus and participant systems will foster the development of new resources for clinical and biomedical text mining systems of Spanish medical data.
Medical Word Embeddings for Spanish: Development and Evaluation
We performed intrinsic evaluation with our adapted datasets, as well as extrinsic evaluation with a named entity recognition systems using a baseline embedding of general-domain.
Multilingual Central Repository version 3.0
This paper describes the upgrading process of the Multilingual Central Repository (MCR).
