I found spacy's documentation lacking in details on how to train NER from scratch (at least I couldn't make sense of it). That's why I decided to stick with Sta

I found spacy's documentation lacking in details on how to train NER from scratch (at least I couldn't make sense of it). That's why I decided to stick with Stanford's NER. Regarding disambiguation: People usually mention books with their respective authors, so it takes one query against the local database to check whether entity is indeed a particular book by a particular author. When no author is mentioned, I check parent comment (if any) to find if the given book is mentioned there. Well, and if comment turns out to be standalone then I query Goodreads / Google Books API. Given books with identical titles, these APIs return the most popular option.