Some sentences are just totally ambiguous without context. "Fruit flies like a banana." isn't even good English. Is the sentence trying to say "Some particular fruit flies like a particular banana"? Or "All fruit flies like any banana"?
By the way, Spacy creator - how's the NER coming along?
It is possible to do incremental dependency parsing with a beam, but all the copying of beam "states" is expensive and there are no guarantees that the n complete parses in the beam are really the n best parses w.r.t. the model.
By the way, the beam isn't slow from the copying. That's really not so important. What matters is simply that you're evaluating, say, 8 times as many decisions. This makes the parser 6-7x slower (you can do a little bit of memoisation).
Also, maybe a dumb question - is there any library or best-practice method for the ensembling of taggers / chunkers? Or must I create it myself from scratch?
https://en.wikipedia.org/wiki/Time_flies_like_an_arrow;_frui...