Finding Coreferences Only Within a Sentence about neuralcoref HOT 3 CLOSED

I figured out a way to only check for coreference in a sentence, although it seems a bit hacky. For example in:

[Carol: [Carol, she]]

I first calculated the begin index and the end index of the sentence in question. Then, I checked to see if the index of the first mention (Carol) was in between the begin index and end index.

If it was, then it was a valid coreference within a sentence. If it was not, then it was a coreference from another sentence.

Is there a better approach than this?

from neuralcoref.

Well the behavior in your first comment is intended:

• if you ask for the coreference of a Doc, you get all the coreferences.
• if you ask for the coreference of a Span you only get coreferences that matches exactly the Span.
  This is required to navigate easily within the chains. I understand it may be a bit surprising, I will try to clarify it a bit in the readme.

Regarding your second comment, another way to limit coreference to single sentences only would be to split your string in sentences (like string.split('.')) and feed a list of strings instead of a single string to the nlp object.

from neuralcoref.

Ah I see, thank you for the clarification. We're relying on user input that may put in decimal numbers, abbreviations, etc. that would mess up the split string method. I tried first passing the whole paragraph through nlp and then passing each sentence in doc.sents through nlp, although I found that performance was too slow for our requirements

A coreference option within a sentence could be a useful feature for the future. Until then, the workaround I made above works (if a bit hacky) for anyone looking to do this

from neuralcoref.