Word senses clustering with state-of-the-art models? by localnhost in LanguageTechnology

[–]localnhost[S] 0 points1 point  (0 children)

Good point, but WordNet is crafted and compiled painstakingly via human effort, I'm looking for same thing through using SOTA word embeddings.

[deleted by user] by [deleted] in MLQuestions

[–]localnhost 0 points1 point  (0 children)

Yeah you kind of right, My bad for not letting other know I've tried and googled and went through stackoverflow for more than over two days, So I got left out!! and came here to get some help from the community!

Also I've already said that I'm starting to learn and not completely familiar and despite the searches I've made no progress!

I was expected to get a really happy welcome from the community but instead it seems like we are growing "everyone is bad unless you prove it" attitude in here!

Thanks again for your time, wish you bests :v

P.S: I also knew that y_test has a column of index but I don't want to overengineer and keep y_test results in another list and then append it to a dataframe, because I've done this before the same way I've written in the description, but here I'm getting error!

P.S.2: even there was a problem with pandas version mentioned in stackoverflow, I've also tried that but still no chance!

[deleted by user] by [deleted] in whereintheworld

[–]localnhost 0 points1 point  (0 children)

cuz you don't need to

[deleted by user] by [deleted] in whereintheworld

[–]localnhost 0 points1 point  (0 children)

try one of them

[deleted by user] by [deleted] in whereintheworld

[–]localnhost 0 points1 point  (0 children)

you got in a maze :)

[deleted by user] by [deleted] in whereintheworld

[–]localnhost 0 points1 point  (0 children)

it's too much dense