Dominik Stammbach
access to justice
legal precedent retrieval
automatic annotation
legal nlp
narrative understanding
character roles extraction
prompting large language models
legal artificial intelligence
legal natural language processing
fact-checking
legal data
claim detection
5
presentations
SHORT BIO
Dominik Stammbach is a Ph.D. Student in the research team of Prof. Elliott Ash. He obtained an M.Sc. in Language Science and Technology from Saarland University and holds a B.A. in Computational Linguistics from the University of Zurich. Dominik conducts research on natural language understanding, automated fact-checking, hate speech detection, and narrative extraction/mining, using deep learning methods.
Presentations
LePaRD: A Large-Scale Dataset of Judicial Citations to Precedent
Robert Mahari and 3 other authors
AFaCTA: Assisting the Annotation of Factual Claim Detection with Reliable LLM Annotators
Jingwei Ni and 5 other authors
Legal Passage Retrieval: A pragmatic approach to legal AI
Robert Mahari and 3 other authors
Heroes, Villains, and Victims, and GPT-3: Automated Extraction of Character Roles Without Training Data
Dominik Stammbach
Evidence Selection as a Token-Level Prediction Task
Dominik Stammbach