Making an Annotated and Curated Corpus of Heliophysics Literature for Named Entity Recognition

Counts differ because each database indexes a different set of publications. We treat OpenAlex as the canonical count; Google Scholar is not shown (no API, and crawling it violates its ToS).

Presentation for the DASH/IHDEA 2026 meeting in Dublin, Ireland. It relates about the work of Sébastien Durna, intern at Paris Observatory on the creation of a pre-annotated corpus for heliophysics named entity recognition using language models, and the thesis of Liza Fretel on the reproducibility of heliophysics experiments.