Search Results for author: Carlos Aspillaga

Found 6 papers, 1 papers with code

Stress Test Evaluation of Biomedical Word Embeddings

1 code implementation NAACL (BioNLP) 2021 Vladimir Araujo, Andrés Carvallo, Carlos Aspillaga, Camilo Thorne, Denis Parra

The success of pretrained word embeddings has motivated their use in the biomedical domain, with contextualized embeddings yielding remarkable results in several biomedical NLP tasks.

named-entity-recognition Named Entity Recognition +2

Inspecting the concept knowledge graph encoded by modern language models

no code implementations Findings (ACL) 2021 Carlos Aspillaga, Marcelo Mendoza, Alvaro Soto

The field of natural language understanding has experienced exponential progress in the last few years, with impressive results in several tasks.

Natural Language Understanding Word Embeddings

Tracking the progress of Language Models by extracting their underlying Knowledge Graphs

no code implementations1 Jan 2021 Carlos Aspillaga, Marcelo Mendoza, Alvaro Soto

The state of the art, previously dominated by pre-trained word embeddings, is now being pushed forward by large pre-trained contextual representation models.

Knowledge Graphs Word Embeddings

On Adversarial Examples for Biomedical NLP Tasks

no code implementations23 Apr 2020 Vladimir Araujo, Andres Carvallo, Carlos Aspillaga, Denis Parra

We also show that we can significantly improve the robustness of the models by training them with adversarial examples.

Language Modelling named-entity-recognition +5

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