10 citations · 26 across the 9 of their papers we have counts for
7 papers · 1 filter
User Perception of Attention Visualizations: Effects on Interpretability Across Evidence-Based Medical Documents
Andrés Carvallo, Denis Parra, Peter Brusilovsky +4
The attention mechanism is a core component of the Transformer architecture. Beyond improving performance, attention has been proposed as a mechanism for explainability via attenti…
Unveiling Social Media Comments with a Novel Named Entity Recognition System for Identity Groups
Andrés Carvallo, Tamara Quiroga, Carlos Aspillaga +1
While civilized users employ social media to stay informed and discuss daily occurrences, haters perceive these platforms as fertile ground for attacking groups and individuals. Th…
Evaluation Benchmarks for Spanish Sentence Representations
Vladimir Araujo, Andrés Carvallo, Souvik Kundu +6
Due to the success of pre-trained language models, versions of languages other than English have been released in recent years. This fact implies the need for resources to evaluate…
ALBETO and DistilBETO: Lightweight Spanish Language Models
José Cañete, Sebastián Donoso, Felipe Bravo-Marquez +2
In recent years there have been considerable advances in pre-trained language models, where non-English language versions have also been made available. Due to their increasing use…
Stress Test Evaluation of Biomedical Word Embeddings
Vladimir Araujo, Andrés Carvallo, Carlos Aspillaga +2
The success of pretrained word embeddings has motivated their use in the biomedical domain, with contextualized embeddings yielding remarkable results in several biomedical NLP tas…
Neural language models for text classification in evidence-based medicine
Andres Carvallo, Denis Parra, Gabriel Rada +3
The COVID-19 has brought about a significant challenge to the whole of humanity, but with a special burden upon the medical community. Clinicians must keep updated continuously abo…
On Adversarial Examples for Biomedical NLP Tasks
Vladimir Araujo, Andres Carvallo, Carlos Aspillaga +1
The success of pre-trained word embeddings has motivated its use in tasks in the biomedical domain. The BERT language model has shown remarkable results on standard performance met…