eric ringger eegsiewcsbyuedu hi rich teach graduate course includes introduction bayesian methods unsupervised text clustering topic modeling fit bill please look course homepage schedule includes links lecture notes papers literature httpfacultycsbyueduringgercs601r httpfacultycsbyueduringgerwinter2007cs601r2schedulehtml welcome feedback uai list content course several papers taking bayesian approaches problems clnlp recent acl 2007 emnlp 2007 conferences heres short list goldwater griffiths bayesian hmm httpaclldcupennedupp07p071094pdf haghighi klein bayesian generative model coreference resolution httpaclldcupennedupp07p071107pdf mark johnson gibbs em vem hmm httpaclldcupennedudd07d071031pdf finkel et al infinite dependency tree learning httpaclldcupennedupp07p071035pdf liang klein nonparametric bayesian approach unlexicalized pcfg learning httpaclldcupennedudd07d071072pdf sato nakagawa bayesian document generative model explicit multiple topics httpaclldcupennedudd07d071044pdf regards eric httpnlpcsbyuedu original message nhipljlbixengrorstedu mailtonhipljlbixengrorstedu behalf rich sent monday november 19 2007 258 pm faqengrorstedu subject uai papers computational linguistics dear colleagues would appreciate learning recent applications bayesian networks similar architectures computational linguistics thanks rich richard e neapolitan professor chair computer science northeastern illinois university 5500 n st louis chicago illinois 60625 fri 08 aug 2008 021639 0700 uai papers computational linguistics