Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

How can I obtain similiar words using spacy Word2Vec (sense2vec) representation? #1018

Closed
mzafzal opened this Issue Apr 26, 2017 · 2 comments

Comments

Projects
None yet
3 participants
@mzafzal
Copy link

mzafzal commented Apr 26, 2017

Hi

There was an answer for synonyms using vocab (the following link)
#276

I ma wondering how we could use sense2vec for obtaining these results.
Its simple in gensim calling the method most_similar().
Any help would be great!

Thanks

Shan

@ines ines added the usage label May 7, 2017

@honnibal

This comment has been minimized.

Copy link
Member

honnibal commented Nov 9, 2017

You should continue using Gensim for doing most_similar() queries. In spaCy 2, now the vector table is stored as a single numpy array, you can use the same vectors table in both spaCy and Gensim. Gensim has put a fair bit of thought into providing approximate nearest neighbour search etc for most_similar(), so I don't think we need to duplicate the functionality.

@honnibal honnibal closed this Nov 9, 2017

@lock

This comment has been minimized.

Copy link

lock bot commented May 8, 2018

This thread has been automatically locked since there has not been any recent activity after it was closed. Please open a new issue for related bugs.

@lock lock bot locked as resolved and limited conversation to collaborators May 8, 2018

Sign up for free to subscribe to this conversation on GitHub. Already have an account? Sign in.
You can’t perform that action at this time.