Scholar
Frederick Riemenschneider
Google Scholar ID: iJwUNygAAAAJ
PhD student of Computational Linguistics at Heidelberg University
Citations & Impact
Citations
58
H-index
3
i10-index
1
Publications
6
Co-authors
1
list available
Publications
Resume (English only)
Academic Achievements
- 2025: Publication of 'An Annotated Dataset of Errors in Premodern Greek and Baselines for Detecting Them' at NAACL 2025; 'Beyond Base Predictors: Using LLMs to Resolve Ambiguities in Akkadian Lemmatization' at the Second Workshop on Ancient Language Processing; 'Cross-Lingual Generalization and Compression: From Language-Specific to Shared Neurons' at ACL'25; 2025: Master's thesis 'Investigating Language Models for Classical Philology: Aspects of Morphology, Syntax, and Knowledge from a Multilingual Perspective' won the GSCL Best Student Thesis Award.
Research Experience
- September 2025: Invited talk at ISTI-CNR on 'From Classics to Circuits'; September 2025: Research stay at CNR (Pisa) for one month, working on SPhilBERTa and retrieval systems for Classics; November 2024: Invited talk at the Computational Approaches to Ancient Greek and Latin Workshop on 'Ira ex machina: Multilingual Models and Emotion Analysis in Classical Texts'; September 2024: Invited talk at IIT Indore on 'Digital Humanities and Infrastructures'.
Education
- Degree: Doctorate; Institution: Heidelberg University; Supervisor: Prof. Dr. Anette Frank; Time: September 2022 - present; Major: Computational Linguistics.
Background
- Research Interests: Mechanistic interpretability of language models, representation of language within these models, organization and structure of different languages. Professional Field: Computational Linguistics. Brief Introduction: Since September 2022, I have been a doctoral student at the Department of Computational Linguistics at Heidelberg University, supervised by Prof. Dr. Anette Frank.
Miscellany
- Personal Interests: Passionate about ancient languages, aiming to apply modern NLP techniques to literary studies and linguistic analysis of historical texts.
