Vladimir Araujo
PhD Researcher
Biography
Vladimir is a PhD student at KU Leuven and Pontificia Universidad Católica de Chile, advised by Professors Marie-Francine Moens and Alvaro Soto. His research interests are natural language processing and deep learning, mainly extending current approaches with mechanisms inspired by human language processing. Previously, he received a master’s degree from the Pontificia Universidad Javeriana focused on machine learning and serious games.
Publications
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Araujo, Vladimir and Villa, Andres and Mendoza, Marcelo and Moens, Marie-Francine and Soto, Alvaro (November 2021).
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations. EMNLP 2021
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Vladimir Araujo, Helena Balabin, Julio Hurtado, Alvaro Soto, and Marie-Francine Moens (November 2022).
How Relevant is Selective Memory Population in Lifelong Language Learning?. , Volume 2: Short Papers.
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Vladimir Araujo, Julio Hurtado, Alvaro Soto, and Marie-Francine Moens (November 2022).
Entropy-based Stability-Plasticity for Lifelong Learning. , Volume 2: Short Papers.
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Vladimir Araujo, Andrés Carvallo, Souvik Kundu, José Cañete, Marcelo Mendoza, Robert E. Mercer, Felipe Bravo-Marquez, Marie-Francine Moens, Alvaro Soto (June 2022).
Evaluation Benchmarks for Spanish Sentence Representations. Thirteenth Language Resources and Evaluation Conference
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Araujo, Vladimir and Moens, Marie-Francine and Soto, Alvaro (January 2023).
Learning Sentence-Level Representations with Predictive Coding. Machine Learning and Knowledge Extraction , 1. doi: 10.3390/make5010005
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Vladimir Araujo, Alvaro Soto, Marie-Francine Moens (July 2023).
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information. Findings of the 61st Annual Meeting of the Association for Computational Linguistics , Findings of the Association for Computational Linguistics: ACL 2023. doi: 10.18653/v1/2023.findings-acl.830