Burton DeWilde

Another reason for more examples is that I don't think I'm seeing the issue you mentioned in the first example I came up with: ``` >>> doc = nlp("The cherry...

Mine actually parses differently. (I'm using the small English 2.1 model, you?). ``` The => [] microsoft => [] browser => [(microsoft, 'amod')] program => [(browser, 'compound')] window => [(program,...

I'm still a bit torn about this, but if it _works_, I'm happy to accept the empirical evidence. :) Could you provide me with a handful of example sentences and...

Hi @DTchebotarev , this is not currently a feature, but I appreciate that padding sequences is a common task in deep learning. I've been dragging my feet on getting DL...

I recently implemented something like this in a keyterm extraction algorithm: https://github.com/chartbeat-labs/textacy/blob/794be5960b1126b5d183a0c8fc9f05c4fc004748/textacy/keyterms.py#L247-L251 Unlike `extract.ngrams()`, this method produces `Tuple[Token]` rather than `Span` objects, so it doesn't work in the context of...

Hi @betatim , I understand the problem, although I don't know of a "good" way to solve it. The preprocessing functions are destructive and one-way, so not a lot of...

This issue also arises when calling `model.tune()`.

Hi again @yuletide ! I finally got round to merging in https://github.com/conda-forge/textacy-feedstock/pull/35, which hopefully fixes your issue. If you're still around and the problem persists, please reopen this issue. I...

To show support for the original feature request -- and hold the `stale` label at bay -- I'd like to +1 this! I tried @jtcohen6 's "keep the easy things...

hi @Akshi22 , don't let me get in your way! though it looks like @ujjawal-khare-27 has already submitted a pr to fix this issue. maybe you can help there?