tag:blogger.com,1999:blog-19803222.post113856884221386070..comments2024-03-18T01:45:45.724-06:00Comments on natural language processing blog: Structured Prediction 2.5: Featureshalhttp://www.blogger.com/profile/02162908373916390369noreply@blogger.comBlogger2125tag:blogger.com,1999:blog-19803222.post-3971010989072335442009-05-12T11:28:00.000-06:002009-05-12T11:28:00.000-06:00酒店經紀PRETTY GIRL 台北酒店經紀人 ,禮服店 酒店兼差PRETTY GIRL酒店公關 酒...酒店經紀PRETTY GIRL <A HREF="http://www.taipeilady.com/" REL="nofollow" TITLE="台北酒店經紀人">台北酒店經紀人</A> ,<A HREF="http://tw.myblog.yahoo.com/jw!qZ9n..6QEhhc0LkItOBm/" REL="nofollow" TITLE="禮服店">禮服店</A> 酒店兼差PRETTY GIRL<A HREF="http://www.mashow.org/" REL="nofollow" TITLE="酒店公關">酒店公關</A> 酒店小姐 彩色爆米花<A HREF="http://blog.xuite.net/jkl338801/blog/" REL="nofollow" TITLE="酒店兼職">酒店兼職</A>,酒店工作 彩色爆米花<A HREF="http://tw.myblog.yahoo.com/jw!BIBoU5SeBRs21nb_ajFpncbTqXds" REL="nofollow" TITLE="酒店經紀">酒店經紀</A>, <A HREF="http://mypaper.pchome.com.tw/news/thomsan/3/1310065116/20080905040949/" REL="nofollow" TITLE="酒店上班">酒店上班</A>,酒店工作 PRETTY GIRL<A HREF="http://tw.myblog.yahoo.com/jw!rybqykeeER6TH3AKz1HQ5grm/" REL="nofollow" TITLE="酒店喝酒">酒店喝酒</A>酒店上班 彩色爆米花<A HREF="http://mypaper.pchome.com.tw/news/jkl338801/" REL="nofollow" TITLE="台北酒店">台北酒店</A>酒店小姐 PRETTY GIRL<A HREF="http://www.mashow.org/" REL="nofollow" TITLE="酒店上班">酒店上班</A>酒店打工PRETTY GIRL<A HREF="http://www.tpangel.com/" REL="nofollow" TITLE="酒店打工">酒店打工</A>酒店經紀 彩色爆米花Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-19803222.post-1142524879760869172006-03-16T09:01:00.000-07:002006-03-16T09:01:00.000-07:00i realized that i would be remiss not to mention a...i realized that i would be remiss not to mention a <A HREF="http://l2r.cs.uiuc.edu/~danr/Papers/PRYZ05.pdf<br/>" REL="nofollow">paper</A> by Punyakanok et al. that compares (theoretically and practically) the difference between global inference (tags depend on each other) and independent classifiers (they do not). I'm more interested in the theoretical side, and the paper does state a theorem that roughly says that if you have enough data, global inference is probably better. The biggest problem with the theorem is that it compares two upper bounds, rather than an upper and a lower. Since the bounds aren't tight, it's unclear that its actually saying anything. But it's a start and given the importance of this question (to me), it's interesting.halhttps://www.blogger.com/profile/02162908373916390369noreply@blogger.com