One obvious shortcoming to this approach is that generally the complete structural descriptions of materials are not found in the abstract of publications. Performing natural language processing on the full articles faces various challenges related to poor machine readability due to the complexity of text, data structuring and lack of access due to copyrighted materials. To link synthesis methods with resulting materials properties requires extracting data from tables, figures, and schematics rather than plain text. . We eagerly await the day when access to the corpus of machine-readable scientific literature is greatly expanded. However, in the meantime, there are alternative approaches for learning structure-based features.