An important corollary is that despite progress in automated chemical and biomedical entity recognition from text (e.g. via Natural Language Processing, NLP) the fully automated extraction of explicit DARCLP relationships from documents has not yet been achieved (although AI efforts are doubtless pushing towards this). This stands in contrast to the ability of biocurators to discern such relationships from a paper in minutes (but needing extra minutes for a patent) . The expansion of automated D-C capture in PubChem (e.g. by Springer, Thieme and Wiley) as well as automated chemical mark-up in PMC and EPMC are certainly welcome developments. Notwithstanding, the associated ABNES problems severely limit knowledge distillation from D-C connections alone.