hal daume iii qmwpgpisiedu call papers bayesian methods natural language processing workshop neural information processing systems conference nips 2005 httpwwwisieduhdaumebayesnlp submission deadline 21 october 2005 apologies multiple postings overview models natural language processing problems often incredibly complex never enough data properly estimate required parameters lead strong need learning techniques builtin capacity control classical solutions problem involve largely adhoc smoothing techniques application bayesian learning methods problems could potentially result effective models extensive crossvalidation longer required hyperparameter tuning model selection goals workshop bring together researchers bayesian machine learning community natural language processing community enable crossfertilization techniques models applications wish focus following issues statistical models current bayesian models text largely focused bag words style approaches conditional independence assumed words leads convenient interpretation document sequence draws multinomial distributions account internal structure exists documents nlp researchers interested build models move beyond bag words assumption structures useful modeling model structures efficiently learn models automatically applicationsoriented models many statistical models text aimed automatically inferring implicit relationship varied elements documents corpus use models aid applications develop similar models aimed solving realworld nlp task nlp applications bayesian techniques appropriate develop models specific problems call participation invite submission workshop papers discuss ongoing completed work dealing bayesian techniques applied natural language processing problems see incomplete list possible topics workshop paper six pages standard nips format authorship blind please submit paper emailing postscript pdf format qmwpgpisiedu subject line bnlp submission anticipate accepting four six papers 15 minute presentation slots exact details worked shortly please submit article least one authors able attend workshop present work especially interested submissions authors nlp community previously attended nips conference fall category please note email submit paper relevant topics models move beyond bagofwords assumption techniques apply problems language modeling structurelearning techniques language bayesian extensions wellknown nlp models application bayesian techniques nlp problems supervised unsupervised techniques welcome also welcome position papers two pages length discuss appropriate argumentation whether bayesian techniques applicable nlp problems ones submitted way standard workshop papers used help guide discussion panel sessions important dates 18 aug 05 call participation 21 oct 05 paper submission deadline 4 nov 05 notification paper acceptance 25 nov 05 survey position paper deadlines 910 dec 05 workshop whistler researcher survey regardless whether submit paper researcher either bayesian learning community nlp community please complete survey available web page serve guide panel discussions workshop organization hal daume iii information sciences institute qmwpgpisiedu httpwwwisieduhdaume yee whye teh national university singapore vfysmcompnusedusg httpwwwcsberkeleyeduywteh wed 06 aug 2008 090343 0700 uai cfp bayesian methods nlp workshop nips