Joseph Cornelius

Table of Contents

Short Bio


Joseph Cornelius is a researcher at IDSIA (Dalle Molle Institute for Artificial Intelligence) since September 2020. He holds a Bachelor's degree in Computer Science from Heinrich-Heine-University Düsseldorf and a Master's degree in Neural Systems and Computation from the University of Zurich and ETH Zurich. He worked as a research assistant at the Department of Computational Linguistics at the University of Zurich. His research interests comprise social media mining, automatic text summarization and natural language processing for the biomedical domain.

External links

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Recent publications

  • Joseph Cornelius, Tilia Ellendorff, Lenz Furrer, Fabio Rinaldi (2020). Aggregating and visualizing COVID-19 related social media mining. In: Proceedings of the 5th Social Media Mining for Health Applications (#SMM4H) Workshop & Shared Task, Barcelona, Spain, 8-13 December 2020
  • Lenz Furrer, Joseph Cornelius and Fabio Rinaldi, UZH@CRAFT-ST: a Sequence-labeling Approach to Concept Recognition, Proceedings of The 5th Workshop on BioNLP Open Shared Tasks, 2019, 185-195
  • Tilia Ellendorff, Joseph Cornelius, Heath Gordon, Nicola Colic and Fabio Rinaldi, UZH @ SMM4H: System Descriptions, Proceedings of the 2018 EMNLP Workshop SMM4H: The 3rd Social Media Mining for Health Applications Workshop and Shared Task, 2018, 56-60
  • Roland Kahlert, Matthias Liebeck and Joseph Cornelius, Understanding Trending Topics in Twitter, BTW (Workshops), 2017, 375-384


E-Mail: joseph.cornelius AT

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Author: Joseph Cornelius

Created: 2020-09-18 Fri 21:37