Andrés Carvallo

Researcher at CENIA

Machine Learning, NLP, Recommender Systems

Email: afcarvallo@uc.cl | Github: afcarvallo | Google Scholar

About Me

I am a researcher at CENIA. My research focuses on recommender systems, natural language processing, information retrieval, and the application of machine learning to real-world problems. I am passionate about advancing AI for social good and open science.

Projects

FONDECYT 32400001: Towards Unbiased Machine Learning and Natural Language Processing Algorithms: A Multilingual Approach to Fairness
This project aims to develop fair and unbiased machine learning and NLP algorithms, focusing on multilingual contexts to ensure equitable AI systems across languages and cultures.

Academic Experience

Researcher
CENIA
2024 – Present
Postdoctoral Researcher
CENIA
2023 – 2024
Adjunct Professor
Pontificia Universidad Católica de Chile
Aug. 2023 – Dec. 2023 (5 months, in-person)
Course: Recommender Systems
Adjunct Professor
Universidad de los Andes (CL)
Jul. 2021 – Dec. 2022 (1 year 6 months, in-person, Santiago, Chile)
Courses: Database Management Systems, Introduction to Programming

Research Groups

Research Interests

Recommender Systems, Data Mining, Machine Learning, Information Visualization, Information Retrieval, Natural Language Processing.

Selected Publications

ALBETO and DistilBETO: Lightweight Spanish Language Models
J Cañete, S Donoso, F Bravo-Marquez, A Carvallo, V Araujo.
Proc. 13th LREC, 2022.
Automatic document screening of medical literature using word and text embeddings in an active learning setting
A Carvallo, D Parra, H Lobel, A Soto.
Scientometrics 125(3), 2020.
Stress Test Evaluation of Transformer-based Models in Natural Language Understanding Tasks
C Aspillaga, A Carvallo, V Araujo.
Proc. 12th LREC, 2020.
Comparing Word Embeddings for Document Screening based on Active Learning
A Carvallo, D Parra.
BIRNDL@SIGIR, 2019.
On adversarial examples for biomedical nlp tasks
V Araujo, A Carvallo, C Aspillaga, D Parra.
BioNLP Workshop, 2020.
Automatic content analysis of student moral discourse in a collaborative learning activity
C Alvarez, G Zurita, A Carvallo, P Ramírez, E Bravo, N Baloian.
Collab. Tech. & Social Computing, 2021.
Neural language models for text classification in evidence-based medicine
A Carvallo, D Parra, G Rada, D Perez, JI Vasquez, C Vergara.
LatinXAI Workshop, 2020.
Stress test evaluation of biomedical word embeddings
V Araujo, A Carvallo, C Aspillaga, C Thorne, D Parra.
BioNLP Workshop, 2021.
Evaluation Benchmarks for Spanish Sentence Representations
V Araujo, A Carvallo, S Kundu, J Cañete, M Mendoza, RE Mercer, ...
Proc. 13th LREC, 2022.
Analyzing the design space for visualizing neural attention in text classification
D Parra, H Valdivieso, A Carvallo, G Rada, K Verbert, T Schreck.
IEEE VIS Workshop on VISxAI, 2019.
Adversarial evaluation of bert for biomedical named entity recognition
V Araujo, A Carvallo, D Parra.
ACL, 2019.
Neural machine translation through active learning on low-resource languages: The case of spanish to mapudungun
B Pendas, A Carvallo, C Aspillaga.
Workshop on NLP for Indigenous Languages, 2023.
Rating and aspect-based opinion graph embeddings for explainable recommendations
I Cantador, A Carvallo, F Diez.
arXiv:2107.03385, 2021.
Applying Process Mining for Loan Approvals in a Banking Institution
A Carvallo, C Henning, D Razmilic, RR López, J Lee, JPS Fernández, ...
Int. Business Process Intelligence Challenge, 2017.
CMM PLN at MentalRiskES: A Traditional Machine Learning Approach for Detection of Eating Disorders and Depression in Chat Messages
R Guerra, B Pizarro, C Muñoz-Castro, A Carvallo, M Rojas, C Aracena, ...
IberLEF@SEPLN, 2023.
Automatic Section Classification in Spanish Clinical Narratives Using Chunked Named Entity Recognition
A Carvallo, M Rojas, C Muñoz-Castro, C Aracena, R Guerra, B Pizarro, ...
IberLEF@SEPLN, 2023.
Analyzing network effects on a fanfiction community
A Carvallo, D Parra.
arXiv:1909.02886, 2019.
A comparative dataset: Bridging COVID-19 and other diseases through epistemonikos and CORD-19 evidence
A Carvallo, D Parra, H Lobel, G Rada.
Data in Brief 51, 109720, 2023.
Analyzing peer influence in ethical judgment: collaborative ranking in a case-based scenario
C Álvarez, G Zurita, A Carvallo.
Int. Conf. on Collab. Tech. & Social Computing, 2023.
LinkMed: Entity Recognition and Relation Extraction from Clinical Notes in Spanish
C Muñoz-Castro, A Carvallo, M Rojas, C Aracena, R Guerra, B Pizarro, ...
IberLEF@SEPLN, 2023.
Targeted Image Data Augmentation Increases Basic Skills Captioning Robustness
V Barriere, F Del Rio, AC De Ferari, C Aspillaga, E Herrera-Berg, ...
arXiv:2309.15991, 2023.
CoTranslate: A web-based tool for crowdsourcing high-quality sentence pair corpora
A Carvallo, I Jorquera, C Aspillaga.
SoftwareX 23, 101508, 2023.
Tsundoku: A Python toolkit for social network analysis
E Graells-Garrido, N García, A Carvallo.
SoftwareX 29, 102008, 2025.
Unveiling Social Media Comments with a Novel Named Entity Recognition System for Identity Groups
A Carvallo, T Quiroga, C Aspillaga, M Mendoza.
arXiv:2405.13011, 2024.
Facultad de Ingeniería y Ciencias Aplicadas, Universidad de los Andes, Santiago, Chile calvarez@ uandes. cl 2 Centro de Investigación en Educación y Aprendizaje, Universidad de …
C Álvarez, G Zurita, A Carvallo.
Collab. Tech. & Social Computing, 2023.
A Comprehensive and Curated Dataset of Covid-19 and Epistemonikos Evidence
A Carvallo, D Parra, H Lobel, G Rada.
SSRN 4489189, 2023.
Graphing else matters: exploiting aspect opinions and ratings in explainable graph-based recommendations
I Cantador, A Carvallo, F Diez, D Parra.
arXiv:2107.03226, 2021.

Teaching Assistant

Deep Learning. Pontificia Universidad Católica de Chile. Professor: Álvaro Soto.
Recommender Systems. Pontificia Universidad Católica de Chile. Professor: Denis Parra.