Paper: Flexible Mixed-Initiative Dialogue Management Using Concept-Level Confidence Measures Of Speech Recognizer Output

ACL ID C00-1068
Title Flexible Mixed-Initiative Dialogue Management Using Concept-Level Confidence Measures Of Speech Recognizer Output
Venue International Conference on Computational Linguistics
Session Main Conference
Year 2000
Authors

We i)rcsent a method to r(:aliz(: th:xil)le mix(;(l- initiative dialogue, in which the syst(:m can mak(, etti:ctive COlflirmation mad guidmn(:(: us- ing (-oncel)t-leve,1 confidcn('e mcmsur(,s (CMs) derived from st)eech recognizer output in ord(:r to handl(: sl)eech recognition errors. W(: d(:tine two con('et)t-level CMs, which are oil COllt(~,Ilt - words and on semantic-attrilmtes, using 10-best outtmts of the Sl)e(:ch r(:cognizt:r and l)arsing with t)hrmse-level grammars. Content-word CM is useflll for s(:lecting 1)]ausible int(:rl)retati(ms. Less contid(:nt illt(:rl)r(:tmtions arc given to con- firmation 1)roc(:ss. The strat(:gy iml)roved the interpr(:tmtion accuracy l)y 11.5(/0. Moreover, th(: semanti(:-mttrilmt(: CM ix us(:d to (:stimmtc user's intention and generates syst(mi-initiativ...