It's concerning that there are no references to scispacy (from allenAI) in the paper. Scispacy is a bit dated in it's core tech, but it's still one of the easi

It's concerning that there are no references to scispacy (from allenAI) in the paper. Scispacy is a bit dated in it's core tech, but it's still one of the easier ways of getting quick NER results on text. This paper is extremely similar in domain (same corpus, etc - but that's not surprising since everyone uses these) but they're leaning heavily on the pretraining allowing capabilities towards few and zero shot, which is already well understood. Ultimately I think it's a good resource to use for the code, and if the API ends up being easier to change some of the internals on compared to the many options out there such as scispacy, or any of the pipelines used to achieve Pubtator, then it's a welcome addition. My assessment is that this is a useful alternative where there are many solutions, but mostly an engineering product, and quite far away from any scientific contribution.