Dr. Vinicius Woloszyn

My research focuses on various aspects of empirical approaches to natural language processing, with a particular interest in mis/disinformation problems.

During my academic career, I was a visiting scholar at Grenoble Informatics Laboratory, Austrian Research Institute for Artificial Intelligence, Universität Pompeu Fabra, and Researcher at Leibniz Universität Hannover.

Currently, I'm project leader and Post-Doc Researcher at Technische Universität Berlin.

 Interests

• Multilingual Models
• Adversarial Attacks
• Data Augmentation
• Greenwashing, Hate Speech, Disinformation Detection
• Question Answering Systems
• Named Entity Recognition

Selected Publications

• Towards a Novel Benchmark for ClaimReviewed and ReviewRating Prediction in Fact-checking Articles, 2021
• Untrue.News: A New Search Engine For Fake Stories, 2020.
• An Empirical Comparison of Classification Methods for Question Answering Systems, 2020.
• DistrustRank: Spotting False News Domains, 2018.
• DDC-outlier: preventing medication errors using unsupervised learning, 2018
• more: https://dblp.uni-trier.de/pid/204/3806.html

Current Projects

• Berlin Open Science Platform (BOP)
• Untrue.News - Search Engine For Fake Stories.

Openings / Supervision

• Greenwashing Detection.
• Evaluating the Quality of Automatic Fake News Detection.
• Multilingual Named Entity Recognition For Scientific Articles.
• Open Multilingual Knowledge Base of Fact-Checked Claims.
• Self-Service Learning Analytics Platform for Data Science Courses.

Contact

woloszyn@tu-berlin.de

Quality and Usability Lab
Deutsche Telekom Laboratories
Technische Universität Berlin
Ernst-Reuter-Platz 7
D-10587 Berlin, Germany