Research group on knowledge management and information retrieval

The Research Group on Knowledge Management and Information Retrieval studies, designs, and evaluates methods aimed at solving problems within the areas of natural language processing, machine learning, and information retrieval. The goal is to develop intelligent tools to facilitate the extraction, refinement, and organization of knowledge across different domains. The main research areas include: contextualized information retrieval, information extraction, causal learning, and individualized inference.

Team

Head: Ana G. Maguitman

Researchers

  • Rocío L. Cecchini – ICIC (UNS-CONICET)
  • Carlos I. Chesñevar – ICIC (UNS-CONICET)
  • Fernando Delbianco – INMABB (UNS-CONICET)
  • Elsa C. Estevez – ICIC (UNS-CONICET)
  • Carlos M. Lorenzetti – ICIC (UNS-CONICET)
  • Ana G. Maguitman – ICIC (UNS-CONICET)
  • Ignacio Ponzoni – ICIC (UNS-CONICET)
  • Axel J. Soto – ICIC (UNS-CONICET)
  • Fernando Tohmé – INMABB (UNS-CONICET)

Collaborators

  • Cecilia Baggio – ICIC (UNS-CONICET)
  • Gabriela A. Diaz – ICIC (UNS-CONICET)

Doctoral Fellows

  • Lázaro Gibert García – ICIC (UNS-CONICET)
  • María Arce Pistone – ICIC (UNS-CONICET)
  • Martina Cesca – ICIC (UNS-CONICET)
  • Laureano Ramirez – ICIC (UNS-CONICET)

Former Members

  • Cristian Briguez
  • Rocío Hubert
  • Mariano Maisonnave
  • Ana Lucía Nicolini
  • Eduardo Xamena

Selected publications

2026

2025

2024

2023

2022

2021

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

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