About me

I am a Ph.D. student in Natural Language Processing at ETH Zurich. My research interests are applied natural language processing. Some projects of mine are concerned with the interesection of NLP and Climate Change, especially greenwashing detection. I also work on online safety, especially misinformation detection, and computational social sciences and computational narrative analysis. I am excited to work on interdisciplinary projects using a text as data approach.

My Ph.D. supervisors are Elliott Ash and Mrinmaya Sachan. See my CV for more information.

Research (Selected Publications)

• Environmental Claim Detection, with Nicolas Webersinke, Julia Bingler, Mathias Kraus and Markus Leippold (ACL 2023)

• Revisiting Automated Topic Model Evaluation with Large Language Models, with Vilém Zouhar, Alexander Hoyle, Mrinmaya Sachan and Elliott Ash (EMNLP 2023)

• The Choice of Textual Knowledge Base in Automated Claim Checking, with Boya Zhang and Elliott Ash (ACM Journal of Data and Information Quality, 2023)

• Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data , with Maria Antoniak and Elliott Ash (4th Workshop of Narrative Understanding, 2022)

• Evidence Selection as a Token-Level Prediction Task (Fourth Workshop on Fact Extraction and VERification, 2021)

• e-FEVER: Explanations and Summaries for Automated Fact Checking, with Elliott Ash (Truth and Trust Online, 2020)

• Exploiting Evidence Enhancement for the FEVER Shared Task, with Günter Neumann (Second Workshop on Fact Extraction and VERification, 2019)

Ongoing Projects

• Accelerating Climate Change Action through Machine Learning: Organizing a track in the Conference program at AMLD EPFL on March 25 and 26, 2024
• ClimateNLP 2024: Organizing a Workshop collocated with ACL 2024 on Natural Language Processing meets Climate Change

Contact

• email: dominsta@ethz.ch
• twitter: dominsta_nlp
• github: dominiksinsaarland