text_combined: charles sutton wcmfvyjzcsumassedu final cfp extended deadline joint inference natural language processing workshop hltnaacl 2006 new york city june 8 2006 httppurloclcorgnetworkshopsjinlp2006 new submission deadline march 31 2006 latebreaking paper deadline appear proceedings may 5 2006 nlp increasing interest moving away systems make chains local decisions independently instead toward systems make multiple decisions jointly using global information example nlp tasks often solved pipeline processing steps speech translation entity extraction relation extraction coreference summarizationeach locally chooses output passed next step however avoid accumulating cascading errors joint decoding across pipelinecapturing uncertainty multiple hypotheses throughout use lattices speech recognition wellestablished recently interest larger complex joint inference joint asr mt joint extraction coreference trend toward joint decisions using global information also appears smaller scale example benefit discriminative reranking efficiently exploit global features output space also recent sequence models crfs maximummargin markov networks trained optimize global objective function space sequences leveraging global features input main challenge applying joint methods widely throughout nlp complex expensive local approaches various models approximate inference algorithms used maintain efficiency beam search reranking simulated annealing belief propagation much work remains understanding methods best particular applications new techniques could brought bear goal workshop explore techniques joint processing nlp tasks involve multiple interrelated decisions themes workshop include practical examples joint models nlp applications traditionally hard nlp problems including speech machine translation encouraged inference methods joint approaches including messagepassing algorithms discriminative reranking sampling methods propagation nbest lattices linear programming kinds global features tend impact joint approaches intriguing property joint models potential integrate information multiple sources eg topdown information helping lowlevel processing kinds higherlevel information useful nlp tasks comparison local methods training inference based local classifiers global approaches crfs maximummargin markov networks appropriate use joint model simpler independent approaches suffice training techniques joint approaches training local classifiers often efficient training global approaches sometimes possible use local training joint decisionmaking test time hybrid techniques expected work well tradeoffs accuracy training time potential participants encouraged submit papers topics others related joint decisionmaking nlp important dates paper submissions due friday march 31 latebreaking papers due friday may 5 notification accepted papers wednesday april 26 camera ready papers due wednesday may 3 workshop june 8 2006 format papers wish present workshop submit paper 8 pages two column format following hltnaacl style see httpnlpcsnyueduhltnaacl06cfphtml proceedings published conjunction main hltnaacl proceedings web site workshop submissions httpwwwsoftconfcomstarthltws06jinlpsubmithtml authors submit pdf file electronically contact organizers also separate deadline short latebreaking papers papers submitted later deadline considered presentation either oral poster appear official workshop proceedings organizers charles sutton university massachusetts andrew mccallum university massachusetts jeff bilmes university washington program committee razvan bunescu university texas bill byrne university cambridge xavier carreras technical university catalonia ozgur cetin university california david chiang university maryland michael collins massachusetts institute technology hal daume university southern california eric foslerlussier ohio state university dan gildea university rochester ralph grishman new york university eric horvitz microsoft research katrin kirchhoff university washington philipp koehn university edinburgh shankar kumar google chris manning stanford university lluís màrquez technical university catalonia gideon mann university massachusetts erik mcdermott ntt communication science laboratories ray mooney university texas franz och google kishore papineni ibm tj watson research center brian roark oregon graduate institute dan roth university illinois salim roukos ibm tj watson research center koichi shinoda tokyo institute technology noah smith johns hopkins university andreas stolcke sri international ben taskar unversity california wed 06 aug 2008 203753 0500 uai cfp extended deadline workshop joint inference nlp