Search Results for author: Marta Villegas

Found 18 papers, 7 papers with code

Pretrained Biomedical Language Models for Clinical NLP in Spanish

1 code implementation BioNLP (ACL) 2022 Casimiro Pio Carrino, Joan Llop, Marc Pàmies, Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Joaquín Silveira-Ocampo, Alfonso Valencia, Aitor Gonzalez-Agirre, Marta Villegas

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.


The Catalan Language CLUB

no code implementations3 Dec 2021 Carlos Rodriguez-Penagos, Carme Armentano-Oller, Marta Villegas, Maite Melero, Aitor Gonzalez, Ona de Gibert Bonet, Casimiro Carrino Pio

The Catalan Language Understanding Benchmark (CLUB) encompasses various datasets representative of different NLU tasks that enable accurate evaluations of language models, following the General Language Understanding Evaluation (GLUE) example.

Spanish Legalese Language Model and Corpora

1 code implementation23 Oct 2021 Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Aitor Gonzalez-Agirre, Marta Villegas

There are many Language Models for the English language according to its worldwide relevance.

Language Modelling

Spanish Biomedical Crawled Corpus: A Large, Diverse Dataset for Spanish Biomedical Language Models

no code implementations16 Sep 2021 Casimiro Pio Carrino, Jordi Armengol-Estapé, Ona de Gibert Bonet, Asier Gutiérrez-Fandiño, Aitor Gonzalez-Agirre, Martin Krallinger, Marta Villegas

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

no code implementations8 Sep 2021 Casimiro Pio Carrino, Jordi Armengol-Estapé, Asier Gutiérrez-Fandiño, Joan Llop-Palao, Marc Pàmies, Aitor Gonzalez-Agirre, Marta Villegas

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.

Named Entity Recognition NER +1

Are Multilingual Models the Best Choice for Moderately Under-resourced Languages? A Comprehensive Assessment for Catalan

no code implementations Findings (ACL) 2021 Jordi Armengol-Estapé, Casimiro Pio Carrino, Carlos Rodriguez-Penagos, Ona de Gibert Bonet, Carme Armentano-Oller, Aitor Gonzalez-Agirre, Maite Melero, Marta Villegas

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.

Language Modelling Named Entity Recognition +4

Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology

1 code implementation NeurIPS 2021 David Pérez-Fernández, Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Marta Villegas

Characterizing the structural properties of neural networks is crucial yet poorly understood, and there are no well-established similarity measures between networks.

Topological Data Analysis

A Vulnerability Study on Academic Collaboration Networks Based on Network Dynamics

1 code implementation21 Dec 2020 Asier Gutiérrez-Fandiño, Jordi Armengol-Estapé, Marta Villegas

Email can be one of the most fruitful attack vectors of research institutions as they also contain access to all accounts and thus to all private information.

Cryptography and Security Social and Information Networks

PharmaCoNER: Pharmacological Substances, Compounds and proteins Named Entity Recognition track

no code implementations WS 2019 Aitor Gonzalez-Agirre, Montserrat Marimon, Ander Intxaurrondo, Obdulia Rabal, Marta Villegas, Martin Krallinger

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.

Named Entity Recognition

Medical Word Embeddings for Spanish: Development and Evaluation

no code implementations WS 2019 Felipe Soares, Marta Villegas, Aitor Gonzalez-Agirre, Martin Krallinger, Jordi Armengol-Estap{\'e}

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.

Named Entity Recognition Word Embeddings

Leveraging RDF Graphs for Crossing Multiple Bilingual Dictionaries

1 code implementation LREC 2016 Marta Villegas, Maite Melero, N{\'u}ria Bel, Jorge Gracia

The experiments presented here exploit the properties of the Apertium RDF Graph, principally cycle density and nodes{'} degree, to automatically generate new translation relations between words, and therefore to enrich existing bilingual dictionaries with new entries.


Using Language Resources in Humanities research

no code implementations LREC 2012 Marta Villegas, Nuria Bel, Carlos Gonzalo, Amparo Moreno, Nuria Simelio

In this paper we present two real cases, in the fields of discourse analysis of newspapers and communication research which demonstrate the impact of Language Resources (LR) and NLP in the humanities.

The IULA Treebank

no code implementations LREC 2012 Montserrat Marimon, Beatriz Fisas, N{\'u}ria Bel, Jorge Vivaldi, Sergi Torner, Merc{\`e} Lorente, Silvia V{\'a}zquez, Marta Villegas

In this paper we have focused on describing the work done for defining the annotation process and the treebank design principles.


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