NLPCraft-ers,
I know we don't have a formal written policy on becoming a committer yet.
In the time we can follow some general guidelines in [1]. Given the fact
Gleb has been working on this functionality for quite some time now (way
before our 1st release & website availability) I think we should
Thank you Gleb!
I'll try to use tool in the coming days. If I have more have questions -
I'll ask you (python is not my strong side)
Probably we'll have to extend readme file.
Sergey Kamov
09.05.2020 21:16, Ifropc пишет:
Hello everybody,
I would like to explain more in details how
Hello everybody,
I would like to explain more in details how proposed solution works and how it
could be integrated into existing system.
Algorithm: target word (to find synonyms for) is masked and passed to Bert
model. Afterwards, Bert results are filtered with FastText. Minimal scores from
Hi Gleb,
thank you very much for your contribution,
it looks really promising!
Regards,
Sergey
On Fri, May 8, 2020 at 6:52 PM Ifropc wrote:
>
> Hello everybody!
>
> I created a pull request for implementing auto-enriching user models with
> synonyms (NLPCRAFT-11), please see details in PR on
Hello everybody!
I created a pull request for implementing auto-enriching user models with
synonyms (NLPCRAFT-11), please see details in PR on Github.
Comments are appreciated, if any.
Thanks,
Gleb.
‐‐‐ Original Message ‐‐‐
On Thursday, May 7, 2020 11:19 PM, GitBox g...@apache.org
Ifropc opened a new pull request #1:
URL: https://github.com/apache/incubator-nlpcraft/pull/1
This pull request should resolve [NLPCRAFT-11: auto-enrich user models with
synonyms](https://issues.apache.org/jira/projects/NLPCRAFT/issues/NLPCRAFT-11?filter=allopenissues)
Proposed approach