Welcome

Hi, my name is Nicholas Popovič.

I am a fourth-year PhD student in Michael Färber's group at TU Dresden & ScaDs.AI. Prior to that I was a member of the Web Science group at Karlsruhe Institute of Technology.

My research focuses on natural language processing and machine learning, particularly on representation learning for information extraction.

You can contact me via email, LinkedIn, Twitter, Bluesky, Google Scholar, or GitHub.

News

Sep 21, 2024	EMBER got accepted to this year's EMNLP as a main conference paper!

Selected Publications

(show all)

Kaleidoscope: In-language Exams for Massively Multilingual Vision Evaluation Salazar et al. preprint, 2025, [PDF]
The Effects of Hallucinations in Synthetic Training Data for Relation Extraction Steven Rogulsky, Nicholas Popovič, Michael Färber KBC-LM @ ISWC (workshop), 2024, [PDF]
Embedded Named Entity Recognition using Probing Classifiers Nicholas Popovič, Michael Färber EMNLP, 2024, [PDF], [VIDEO], [CODE], [WEBSITE]
VOCAB-EXPANDER: A System for Creating Domain-Specific Vocabularies Based on Word Embeddings Michael Färber, Nicholas Popovič RANLP (demo), 2023, [PDF], [CODE], [DEMO]
Towards solving fuzzy tasks with human feedback: A retrospective of the minerl basalt 2022 competition Milani et al. Competitions Track @ NeurIPS (workshop), 2022, [PDF], [CODE]
Few-Shot Document-Level Relation Extraction Nicholas Popovič, Michael Färber NAACL, 2022, [PDF], [VIDEO], [CODE], [WEBSITE]
AIFB-WebScience at SemEval-2022 Task 12: Relation Extraction First - Using Relation Extraction to Identify Entities Nicholas Popovič, Walter Laurito, Michael Färber SemEval @ NAACL (workshop), 2022, [PDF], [VIDEO], [CODE]
Which Publications’ Metadata Are in Which Bibliographic Databases? A System for Exploration Michael Färber, Christoph Braun, Nicholas Popovič, Tarek Saier, Kristian Noullet BIR @ ECIR (demo), 2022, [PDF], [CODE]
Ampacity forecasting from numerical weather predictions: a fusion of the traditional and machine learning methods Gabriela Molinar, Johannes Bassler, Nicholas Popovič, Wilhelm Stork IEEE ISGT-Europe, 2020, [PDF]
From data points to ampacity forecasting: Gated recurrent unit networks Nicholas Popovič, Gabriela Molinar, Wilhelm Stork IEEE BigDataService, 2018, [PDF]