I’m attempting to use
terms.train-vectors to build a sense2vec model. The latest (and the last 2 versions as well I believe) Prodigy documentation shows
--s2v-merge-nps as valid flags, but I keep getting the following errors
Any thoughts? Does
train-vectors not actually support sense2vec?
Sorry I think there’s a mistake in the docs here.
You can get the details help for any command with
--help. This should show you the correct spelling of the two flags you’re interested in, whose shortcuts are
Incidentally, note that the implementation of the
merge_noun_phrases is currently a bit different in Prodigy from the sense2vec repo. The implementation in the recipes file (which you can read and modify — the source for that is shipped within Prodigy) doesn’t drop articles (“the”, “a”, etc), unlike the function in sense2vec’s
merge_text. So that’s a change you might want to make.