arXiv paper proposes method to classify generalisation claims in NLP research

A new arXiv preprint argues that generalisations are widespread in scientific writing yet carry ambiguous meaning, making them hard for readers and automated systems to interpret consistently. The authors propose an automated approach for identifying and sorting such claims by how broad they are, with the goal of surfacing research that leans too heavily on sweeping statements. The work sits at the intersection of natural language processing and research evaluation.