Last week I took a USACO contest (woo! Nontrivial success on all three problems! Sadly, not good enough to make it to gold...), created and distributed a NACLO flier, and discussed with Mr. Stephens ways he could paperless-ize his worksheet grading (conclusion: existing PDF software would at least allow him to go paperless, although it would take a fair amount of work to create something to help him grade problem-by-problem).
I'm mostly trying to pass the time until the Stanford classes start productively - one more period next week, which I don't think I can do anything helpful in, and then the next Monday classes start. Mr. Stephens asked me, for this blog, to say which Stanford course I'm looking forward to and why. Of the four that start next Monday - Model Thinking, Natural Language Processing, Algorithms, and Probabilistic Graphical Models - I'm most looking forward to the NLP one. Algorithms I see as being a slightly more in-depth review and formalization of things I already know, and Model Thinking is going to be a collection of interesting things with no broad concepts. The other two are much more detailed introductions to fields that I only barely understand, but that I know I'll be able to do cool things with later.
Natural Language Processing is the less in-depth one of those two, but it's also the one I know more about and am kind of fascinated by. Also, I've been discussing with Arnav an NLP program I want to write to analyze and parse quiz bowl tossups, so I have a personal interest in learning things about the subject.
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