AI RESEARCH

ScheMatiQ: From Research Question to Structured Data through Interactive Schema Discovery

arXiv CS.CL

ArXi:2604.09237v1 Announce Type: new Many disciplines pose natural-language research questions over large document collections whose answers typically require structured evidence, traditionally obtained by manually designing an annotation schema and exhaustively labeling the corpus, a slow and error-prone process. We