tag:blogger.com,1999:blog-19803222.post2575683343317065845..comments2024-03-18T01:45:45.724-06:00Comments on natural language processing blog: NIPS retrospectivehalhttp://www.blogger.com/profile/02162908373916390369noreply@blogger.comBlogger10125tag:blogger.com,1999:blog-19803222.post-70194979773263323622009-05-12T10:38:00.000-06:002009-05-12T10:38:00.000-06:00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-82228376839012929112007-12-20T09:51:00.000-07:002007-12-20T09:51:00.000-07:00Re Yoav's comment. The Xerox taggerdoes have a cla...Re Yoav's comment. The Xerox tagger<BR/>does have a class guesser that assigns<BR/>an ambiguity class to unknown words on<BR/>the basis of<BR/>orthographic features. This is a major<BR/>contributor to its performance.Chris Brewhttps://www.blogger.com/profile/15950294272852443488noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-48300472278947412162007-12-20T08:02:00.001-07:002007-12-20T08:02:00.001-07:00re ambiguity classes: the innovation presented in ...re ambiguity classes: the innovation presented in NIPS paper is in the reduced lexicon models, in which the unknown ambiguity class is inferred based on ortographic features.Yoavhttps://www.blogger.com/profile/10911181524186244654noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-69063245163963847402007-12-20T08:02:00.000-07:002007-12-20T08:02:00.000-07:00This comment has been removed by the author.Yoavhttps://www.blogger.com/profile/10911181524186244654noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-42987558249933305272007-12-18T11:05:00.000-07:002007-12-18T11:05:00.000-07:00Thanks to all for the POS pointers... I'll have t...Thanks to all for the POS pointers... I'll have to think a bit more about the ambiguity class thing... I have a vague sense that there's a difference, but I have to think more... I noticed Mark J didn't comment yet; he'd probably know more :P.<BR/><BR/>Chris: well, I consider Canada to be domestic ;), at least in the sense that it's cheap to attend. So I don't think this is a counter-example ;).halhttps://www.blogger.com/profile/02162908373916390369noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-57720622828155955622007-12-15T09:36:00.000-07:002007-12-15T09:36:00.000-07:00"it was by far my most productive conference ever...."it was by far my most productive conference ever."<BR/><BR/>Just wondering, did this change your 'Costs and Benefits' analysis of conferences?Chrishttps://www.blogger.com/profile/09558846279006287148noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-33316008695738972152007-12-13T06:16:00.000-07:002007-12-13T06:16:00.000-07:00The "confusion/ambiguity class" of the word to be ...The "confusion/ambiguity class" of the word to be tagged is (at least) implicitly modeled in any recent POS tagger.<BR/><BR/>The ambiguity classes of the context words is successfully used by the SVMTool tagger (http://www.lsi.upc.edu/~nlp/SVMTool/).<BR/><BR/>Recent works on Hebrew/Arabic morphological disambiguation make use of context ambiguity classes as well.Yoavhttps://www.blogger.com/profile/10911181524186244654noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-35830265803094248832007-12-12T18:24:00.000-07:002007-12-12T18:24:00.000-07:00I am a bit naive and am confused and confounded by...I am a bit naive and am confused and confounded by the confusion class. I thought there was no dearth of POS tagging methods. Why the additional confusion?mgrhttps://www.blogger.com/profile/04700478336951113434noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-21912519141591914912007-12-12T17:50:00.000-07:002007-12-12T17:50:00.000-07:00The confusion class idea has been in POS-tagging s...The confusion class idea has been in POS-tagging since Julian Kupiec and Doug Cutting built their<BR/>tagger (cf. http://citeseer.ist.psu.edu/cutting92practical.html).<BR/>There it goes by the name of "ambiguity class". I am sure there are multiple effective ways of using this idea, including some new ones.Chris Brewhttps://www.blogger.com/profile/15950294272852443488noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-82525117641123269392007-12-12T10:43:00.000-07:002007-12-12T10:43:00.000-07:00Another theme this year lies at the intersection o...Another theme this year lies at the intersection of approximate inference in graphical models and linear/convex programming. There were at least two orals here and I probably missed others as well:<BR/><BR/>P. Mudigonda, V. Kolmogorov, P. Torr<BR/>An Analysis of Convex Relaxations for MAP Estimation<BR/><BR/>D. Sontag, T. Jaakkola<BR/>New Outer Bounds on the Marginal Polytope<BR/><BR/>It is unclear to me if these would in the end lead to practical algorithms, but the developments are definitely theoretically very nice.<BR/><BR/>There were also a number of other interesting convex programming or approximate inference papers:<BR/><BR/>L. Song, A. Smola, K. Borgwardt, A. Gretton<BR/>Colored Maximum Variance Unfolding<BR/><BR/>E. Sudderth, M. Wainwright, A. Willsky<BR/>Loop Series and Bethe Variational Bounds in Attractive Graphical Modelsm2https://www.blogger.com/profile/12955771894148308170noreply@blogger.com