Enhancing the Historian, Toward a Computational Critique of Historical Writing: Argumentation, Rhetorical Reflexivity, and Language Models
Abstract
This article presents an experimental system designed to assist historical writing, combining Retrieval-Augmented Generation (RAG) architectures and language models (LLMs). Unlike the dominant uses of these technologies in the humanities—which focus on documentary exploration or text generation—the proposed system aims to formalize certain recurring aspects of historical writing procedures by transforming them into analytical signals that historians can utilize in their own critical work. (https://zenodo.org/records/20800040)
About this workshop
The aim of this workshop is to promote technical and practical exchanges between researchers who use NLP methods. There is no hesitation in detailing the code (r/python), sharing tips, and discovering new methods and models.
Periodicity: Thursdays from 12h15 to 13h30, by videoconference.