saurabhn

5 ms·

1. 1.▲
   by saurabhn 9y ago

   I'm with @wadkar on this. I think the Fake News Challenge Stage 1 (FNC-1) was a good step towards this effort. They acknowledge (almost) all of these concerns and start with Stance Detection as their first stage. In this problem, pairs
2. 2.▲
   by saurabhn 9y ago

   To complete the picture, you might've been taught a completely different mnemonic in other countries. The one I was taught was BODMAS ( "B"rackets, "O"f or "O"rder, "D"ivision, "M"ultip
3. 3.▲
   by saurabhn 9y ago

   What checks does the Wiki model offer against, say, a 4chan-style brigading? I love the idea, I just want it to be bulletproof too.
4. 4.▲
   by saurabhn 10y ago

   Sorry, just saw this after all these days. Do check out Adversarial Machine Learning as a really cool next step.
5. 5.▲
   by saurabhn 10y ago

   That's really cool! Quick, unsolicited 2¢: 1. Your data is severely imbalanced, so accuracy is a very misleading metric to use here. From what I see, you have a 1:20 imbalance (malicious vs non-malicious distribution). This affects bot
6. 6.▲
   by saurabhn 10y ago

   This is a super interesting topic to work on! There's an academic initiative which does exactly this, it's called the Digital Historical Architectural Research and Material Analysis or DHARMA [0] for short (it's at the Univer