I have a question about a recipe, but I wanted to introduce myself first.
I am exploring right now both the library and prodigy for use in a university research project about social networks in the ancient world.
I’m working on a corpus of biographies of ancient philosophers and are trying to extract from that corpus who was teacher of whom and the migration routes of those individuals: who moved from where to where to study with whom. (For now, I am using English translations but am planning to conduct the research in ancient Greek if we can build with my students an ancient Greek model for spacy)
We were using the matcher with a language model I retrained with prodigy, but we couldn’t capture much due to the complexity of the literary texts in the corpus. We are looking now at the train_intent_parser.py example in spacy, which is used to predict trees over whole documents. We are considering a similar approach to extract relations between people and places in our corpus.
What would be the existing prodigy recipe to train such a parser? Or which one could be adapted for our purposes?