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Language Computeer
Fists of irony
In brief:
  • 09:55 Haghighi & Klein discussing heavy-math way of doing co-ref (still has "meaningful" modularity) #naacl2010 #
  • 10:05 Haghighi/Klein makes me want to learn coreference resolution. Must stay focused on my own research. #naacl2010 #
  • 11:16 distributed perceptron paper was neat #naacl2010 #
  • 11:17 Session hopped to Smith et al. re: extracting parallel sentences from multilingual wikipedia #naacl2010 #
  • 11:26 Holy **** I hope this SUV driver targeting bicyclists (in my 'hood!) gets caught: bit.ly/aCAxHQ (via @potreroboosters) #
  • 11:35 Four parallel sessions are a bit tough. Feeling split between MT and Machine Learning sessions. Sticking with MT. #naacl2010 #
  • 11:48 Bertoldi et al. corrupt clean input to see effects of spelling errors on SMT (using freq errors fr wikipedia lists) #naacl2010 #
  • 11:52 Bertoldi et al. also include "week speeeling corectur" confusion network model that seems worth investigating #naacl2010 #
  • 11:54 the @Wordnik demo happening at #d8 right now. Go @emckean! is.gd/cBl1y #
  • 12:01 Bertoldi et al. side result: spelling correction can hurt you in SMT if you apply blindly #naacl2010 #
  • 12:07 Khapra et al. on transliterating w bridge [pivot?] languages. Struggling w Powerpoint, but nicely explained problem #naacl2010 #
  • 12:18 Khapra et al. discuss {orthograph/phonem}ic inventory of bridge lang (transliteration channel capacity). post hoc but bravo! #naacl2010 #
  • 13:02 At "HLT Industry Challenges" panel #naacl2010 -- not really 'panel', disappointingly. More like rushed session #
  • 13:03 Dekang Lin (Google) industry talk points out that "nut job" doesn't get same ads on G[oogle] (his) vs B[ing] #naacl2010 #
  • 13:14 Arul Menezes from MSR on MT industry challenges (test sets, productization). feels like a totally different session #naacl2010 #
  • 15:10 thanks for outing me on twitter to the whole conference @rion #naacl2010 #
  • 15:25 BSing about San Francisco, @twitter, @amandapalmer and crazy with @rion at #naacl2010 #
  • 16:57 At another "noisy genre" series of talks (currently hearing from the ETS about student essays) #naacl2010 #
  • 17:09 quoting @rion, looking at a slide full of text: "tee ell; dee arr" #naacl2010 #
  • 17:13 next up: Wu et al. on auto Twitter annotation #naacl2010 @woowey #
  • 17:18 Waiting for @drunkhulk to appear at twitter talks #naacl2010 #lowpriors #nerdsyzygy #
  • 17:41 hashtag paper drew lots of questions. Not sure all questioners get the point #naacl2010 #

I often use twitter to mention what's happening or linkdump. I LT here for posterity.

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