ࡱ> (*'  bjbjVV 4<<>>  0<>>>>>>>>.<<# (i0T>>> G:  SPEAKER: Dr. Blaise Thomson Dialogue Systems Group Engineering Department Univeristy of Cambridge DATE Wednesday the 9th of November 2011 TIME: 15:15 - 16:15 LOCATION: ֲý, Earl Mountbatten Building; room 3.03 TITLE: Expectation propagation for modelling user behaviour in spoken dialogues ABSTRACT: Expectation propagation (EP) is becoming a standard tool in the machine learning community as it is able to perform inference quickly, often has less bias than alternatives such as variational inference and Laplace approximations, and requires less computation than many sampling methods. This talk will discuss the application of EP to modelling user behaviour in spoken dialogues. EP provides an efficient way to train the parameters and update the beliefs of a spoken dialogue systems based on the partially observable Markov decision process. These parameters can even be learned using noisy observations, and do not require any annotations besides semantic representations of the speech recognition output of a dialogue. The resulting systems are shown to be more robust to errors than standard approaches, largely because the models are able to handle the uncertainty in the dialogue in a principled way. EP also provides a mechanism from training the parameters of Bayesian network-based simulators of the user behaviour in a dialogue. Performance of the resulting simulators will also be discussed.  di; E hNh`hX5hX 4Kcdi: ; E f  X gdX21h:pN. A!"#$% j 666666666vvvvvvvvv666666>6666666666666666666666666666666666666666666666666hH6666666666666666666666666666666666666666666666666666666666666666662 0@P`p2( 0@P`p 0@P`p 0@P`p 0@P`p 0@P`p 0@P`p8XV~ OJPJQJ_HmH nH sH tH J`J NNormal dCJ_HaJmH sH tH DA D Default Paragraph FontRiR 0 Table Normal4 l4a (k ( 0No List VZ`V X0 Plain Text dCJOJPJQJ^JaJtH R/R X0Plain Text CharCJOJPJQJ^JaJtH PK![Content_Types].xmlj0Eжr(΢Iw},-j4 wP-t#bΙ{UTU^hd}㨫)*1P' ^W0)T9<l#$yi};~@(Hu* Dנz/0ǰ $ X3aZ,D0j~3߶b~i>3\`?/[G\!-Rk.sԻ..a濭?PK!֧6 _rels/.relsj0 }Q%v/C/}(h"O = C?hv=Ʌ%[xp{۵_Pѣ<1H0ORBdJE4b$q_6LR7`0̞O,En7Lib/SeеPK!kytheme/theme/themeManager.xml M @}w7c(EbˮCAǠҟ7՛K Y, e.|,H,lxɴIsQ}#Ր ֵ+!,^$j=GW)E+& 8PK!Ptheme/theme/theme1.xmlYOo6w toc'vuر-MniP@I}úama[إ4:lЯGRX^6؊>$ !)O^rC$y@/yH*񄴽)޵߻UDb`}"qۋJחX^)I`nEp)liV[]1M<OP6r=zgbIguSebORD۫qu gZo~ٺlAplxpT0+[}`jzAV2Fi@qv֬5\|ʜ̭NleXdsjcs7f W+Ն7`g ȘJj|h(KD- dXiJ؇(x$( :;˹! I_TS 1?E??ZBΪmU/?~xY'y5g&΋/ɋ>GMGeD3Vq%'#q$8K)fw9:ĵ x}rxwr:\TZaG*y8IjbRc|XŻǿI u3KGnD1NIBs RuK>V.EL+M2#'fi ~V vl{u8zH *:(W☕ ~JTe\O*tHGHY}KNP*ݾ˦TѼ9/#A7qZ$*c?qUnwN%Oi4 =3ڗP 1Pm \\9Mؓ2aD];Yt\[x]}Wr|]g- eW )6-rCSj id DЇAΜIqbJ#x꺃 6k#ASh&ʌt(Q%p%m&]caSl=X\P1Mh9MVdDAaVB[݈fJíP|8 քAV^f Hn- "d>znNJ ة>b&2vKyϼD:,AGm\nziÙ.uχYC6OMf3or$5NHT[XF64T,ќM0E)`#5XY`פ;%1U٥m;R>QD DcpU'&LE/pm%]8firS4d 7y\`JnίI R3U~7+׸#m qBiDi*L69mY&iHE=(K&N!V.KeLDĕ{D vEꦚdeNƟe(MN9ߜR6&3(a/DUz<{ˊYȳV)9Z[4^n5!J?Q3eBoCM m<.vpIYfZY_p[=al-Y}Nc͙ŋ4vfavl'SA8|*u{-ߟ0%M07%<ҍPK! ѐ'theme/theme/_rels/themeManager.xml.relsM 0wooӺ&݈Э5 6?$Q ,.aic21h:qm@RN;d`o7gK(M&$R(.1r'JЊT8V"AȻHu}|$b{P8g/]QAsم(#L[PK-![Content_Types].xmlPK-!֧6 +_rels/.relsPK-!kytheme/theme/themeManager.xmlPK-!Ptheme/theme/theme1.xmlPK-! ѐ' theme/theme/_rels/themeManager.xml.relsPK]   8@0(  B S  ?KU? WsX}q `'#QF~HxOovk hN&\@@UnknownG* Times New Roman5Symbol3. * Arial7.{ @CalibriA BCambria Math"qhZFZF  !r03HX $PX2!xx Fiona Dick Fiona DickOh+'0t  0 < HT\dl Fiona Dick Normal.dotm Fiona Dick2Microsoft Office Word@F#@@: ՜.+,0 hp  ֲý   Title  !"#$%&)Root Entry F +1Table WordDocument4SummaryInformation(DocumentSummaryInformation8CompObjy  F'Microsoft Office Word 97-2003 Document MSWordDocWord.Document.89q