yamalight
Joined 15 years ago
Joined 15 years ago
What I found interesting with Vaporlens is that it surfaces things that people think about the game - and if you find games where you like all the positives and don't mind largest negatives (because those are very often very subjective) - you're in a for a pretty good time.
It's also quite amusing to me that using fairly basic vector similarity on points text resulted in a pretty decent "similar games" section :D
It processes Steam game reviews and provides one page summary of what people thing about the game. Have been gradually improving it and adding some features from community feedback. Has been good fun.
Validating things with customers - in my experience - can be extremely tricky as they might not even know what they want
For one - how many wikidata classes exactly do you get from Wikineural? If I remember correctly, it can do four (person, location, organization, other). Our models do several thousands.
It'll likely annotate similar things in text since our model is also transformers-based (which is basically current state of art) - can't really do anything about that.
edit: phrasing.
[ my public key: https://keybase.io/yamalight; my proof: https://keybase.io/yamalight/sigs/zM00Rs7ySpH7n4Ansupqu-6g-lTvytHUj4zFfV_8AsQ ]