You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I recently tried Train a language model on a jokes corpus research and for that purpose I've crawled few jokes sites and trained char-rnn language model on that. However, the output wasn't really funny.
Here's the dataset that I've used. However, please note that some of these jokes are really creepy. I tried to filter some of them out, but... well, it's just crawled from jokes site, can't do anything about it.
The text was updated successfully, but these errors were encountered:
Would love to see your solution as I will attempt to do this one over the holidays. Thanks for your dataset.
Do you think it might be worth to have a rating system to be able to say how good a joke is? This way a network can self-select to pick jokes that have the highest quality?
No, I'm not. The results I got weren't as impressive as I wanted, probably because I'm still not very confident DL user.
I'm not sure what the purpose of the ratings would be. Anyway, that'd require human assessment, if one can do that and reuse, that might be good tough.
Will be happy to see some nice results you might be able to achieve!
Hi!
I recently tried Train a language model on a jokes corpus research and for that purpose I've crawled few jokes sites and trained char-rnn language model on that. However, the output wasn't really funny.
Here's the dataset that I've used. However, please note that some of these jokes are really creepy. I tried to filter some of them out, but... well, it's just crawled from jokes site, can't do anything about it.
The text was updated successfully, but these errors were encountered: