tag:blogger.com,1999:blog-19803222.post1650900416182826748..comments2024-03-18T01:45:45.724-06:00Comments on natural language processing blog: NAACL 2010 Retrospectivehalhttp://www.blogger.com/profile/02162908373916390369noreply@blogger.comBlogger10125tag:blogger.com,1999:blog-19803222.post-7311304940653329382010-07-07T00:16:05.636-06:002010-07-07T00:16:05.636-06:00ACER Travelmate 4002lmi battery
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I haven´t kno...Thanks for this summary about NAACL. I haven´t known anything about thats conferences.<br />Now I'll look over the papers. This NLP area is very interesting, specially the topic of sense in a document. It´s fascinating.Chintozhttps://www.blogger.com/profile/04367106277900570106noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-17164783675978948302010-06-15T17:48:09.393-06:002010-06-15T17:48:09.393-06:00Another HLT-NAACL report.Another <a href="http://jochenleidner.posterous.com/report-from-naacl-2010-los-angeles" rel="nofollow">HLT-NAACL report</a>.Jochen L. Leidnerhttp://www.jochenleidner.comnoreply@blogger.comtag:blogger.com,1999:blog-19803222.post-10873572989411316572010-06-13T22:24:32.839-06:002010-06-13T22:24:32.839-06:00There ain't no reliability in XOR.There ain't no reliability in XOR.Anonymousnoreply@blogger.comtag:blogger.com,1999:blog-19803222.post-77572940008282884392010-06-12T15:10:38.113-06:002010-06-12T15:10:38.113-06:00Great NAACL summary, Hal! We've got a hypothes...Great NAACL summary, Hal! We've got a hypothesis about why the direct gradient approach outperforms EM. It has to do with coarse features and how they're used during the initial stages of learning.<br /><br />I wrote up a summary of the hypothesis and some new results that back it up, <a href="http://www.cs.berkeley.edu/~tberg/gradVsEM/main.html" rel="nofollow">posted here</a>. Come check it out, and let me know what you think.tberghttps://www.blogger.com/profile/12497250876890235169noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-27049471320801840172010-06-09T19:10:58.124-06:002010-06-09T19:10:58.124-06:00Excellent summary. I had the same comments about t...Excellent summary. I had the same comments about the CRF sentiment paper. I found myself sitting in the talk unplanned and I was very pleased. I had actually come up with a very similar model with a student earlier in the semester and it was/is on our TODO list. I'm glad to see that it works!Mark Dredzehttps://www.blogger.com/profile/03294614528648962173noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-28896685240082152282010-06-09T00:11:06.292-06:002010-06-09T00:11:06.292-06:00I fully agree that more and more people are either...I fully agree that more and more people are either not aware of related work/prior art or know about it but choose to ignore the topic, and it also bugs me.<br /><br />Last year, I decided to give this more weight when reviewing submissions as a result. Every author should recognize and acknowledge the most closely related paper they know of, and the first work or early seminal work in the area, as well as the most recent and best results they know. Furthermore, authors should demonstrate they are aware of what their own contribution is, i.e. how they are different.Jochen L. Leidnerhttp://jochenleidner.posterous.comnoreply@blogger.comtag:blogger.com,1999:blog-19803222.post-57106378381199444662010-06-07T21:37:34.448-06:002010-06-07T21:37:34.448-06:00Ryan: For the Berg-Kirkpatrick paper, I want to kn...Ryan: For the Berg-Kirkpatrick paper, I want to know that, too. It seems like magic. Maybe they should talk to their next-door-neighbor, Percy Liang, who is the expert and understanding the errors that unsupervised models make :). More seriously, though, I kind of suspect we might never get to know, given that the likelihoods are the same. That is, I've thought about it a bunch and I can't come up with <i>any</i> concrete hypothesis, much less one that's testable. If the likelihoods were better as well, I could formulate some stuff to test.halhttps://www.blogger.com/profile/02162908373916390369noreply@blogger.comtag:blogger.com,1999:blog-19803222.post-13653733340702536212010-06-07T20:56:48.860-06:002010-06-07T20:56:48.860-06:00Thanks for the retrospective Hal. I had a lot of f...Thanks for the retrospective Hal. I had a lot of fun at NAACL this year. It was really well organized. Kudos to the local organizers. Unfortunately there were way too many parallel sessions and not enough posters, IMHO.<br /><br />I too enjoyed the dependency tree sentiment paper by Nakagawa et al. I suspect that it should be possible to extend their model to handle the case when modifiers are the negators.<br /><br />For the Berg-Kirkpatrick et al. paper I still don't understand why the direct gradient is SO much better empirically. They say that the likelihood is about the same in practice. Normally I would just say they got lucky, but the fact that they observe it on so many different tasks suggests that something is going on here. I think I may have already brought this up with Hal in L.A., but if anyone has any thoughts about this I would love to hear them.<br /><br />Another paper I liked was "Bayesian Inference for Finite-State Transducers" by Chiang et al. I would like to understand better why their averaging trick for model selection works amazingly well.Ryan McDonaldhttp://www.ryanmcd.comnoreply@blogger.com