Recent advances in natural language processing (NLP) allow the use of these descriptions for assay categorization. NLP models are well suited for the purpose of processing unstandardized text. The language model BERT, for example, has substantially improved performance within the field of language understanding tasks. With such pretrained NLP models, meaningful embeddings -numeric vectors representing text -can be created from the assay descriptions annotated in ChEMBL.