... computer-human interactionfor learningdialogue strategies. In Eurospeech,Rhodes,Greece.Olivier Pietquin. 2004. A Framework for Unsuper-vised Learning of Dialogue Strategies. Presses Uni-versitaires ... olemon@inf.ed.ac.ukAbstractWe explore the use of restricted dialogue contexts in reinforcement learning (RL)of effective dialoguestrategies for infor-mation seeking spoken dialogue systems(e.g. COMMUNICATOR (Walker ... start of a dialogue) .Finally, let us note that the performance of theRL strategies is close to optimal, but that there issome room for improvement. With respect to theHLG05 metric, the optimal...
... between COMM UN ICATOR dialogue actionsand in-car dialo gue actions, for each sub-task type ofthe in-car system.121An ISU Dialogue System Exhibiting Reinforcement Learning of Dialogue Policies: ... project1.This prototype is the first “Information StateUpdate” (ISU) dialogue system to exhibit rein-forcement learning of dialogue strategies, andalso has a fragmentary clarification feature.This ... able to collect datafor Reinforcement Learning (RL) approaches to mul-timodal dialogue management, and also to test and fur-ther develop learnt dialoguestrategies in a realistic ap-plication...
... offer the optimal price; motivated by this,we henceforth refer to the optimal price as the optimal (my-opic) price.We finish the section by deriving an upper bound on therevenue of the optimal ... 1.4.2 Finding Influence-and-Exploit Strategies In the previous section, we showed that in various settingsinfluence and exploit strategies approximate the optimal rev-enue within a reasonable ... rate assumption in Section 5.3. OPTIMAL MARKETING STRATEGIES 3.1 Symmetric SettingsIn this section, we study symmetric settings, and showthat we can identify the optimal marketing strategy basedon...
... automat-ically learning effective dialogue strategies, generated from a library of dialogue content,using reinforcement learning from user feed-back. This library includes greetings, so-cial dialogue, ... effective dialogue strategies for information seeking spo-ken dialogue systems, and in particular the use ofreinforcement learning methods to learn policiesfor action selection in dialogue ... reinforce-ment/supervised learning (Henderson et al., 2005).Previous work on learningdialogue management strategies has however generally been limited to welldefined areas of the dialogue, in particular...
... (2001). E -learning. Strategies for delivering knowledgein the digital age. New York: McGraw-Hill.Rosenberg, M.J. (2003). E -learning brain trust, ASTD, learning circuits.Retrieved from www.learningcircuits.org/2003/sep2003/braintrust.htmSchank, ... haswell-established experience in e -learning and two organizations are at anintermediate stage.Figure 2. Adoption of e -learning and quality of experienceE -Learning Strategies of Italian Companies ... interactive learning objects (learning by interaction: CBT, interactive games, self-directed learning objects, coaching, and simulations). At a third level, the main contentis collaboration (learning...
... which14goof-proofSPELLINGsectionTWOEmployinga few simple strategies will shorten theamount of time it will take you to goof-proof your spelling. Thinkabout these strategies as you would think about any plan—theyare ... applying them to your everyday life. Dedicate your-self to learning the rules and you will be a goof-proof speller inno time!SPELLING STRATEGIES ●VISIT HELPFUL SPELLING●AND VOCABULARY WEBSITESThe ... may result in sloppy spelling is saying inneresting insteadof articulating interesting.spelling strategies 15●USE MNEMONICS●Don’t let the spelling of this word scare you—mnemonics is a sim-ple...
... Communication strategies and Social strategies are also mentioned in his later classification (Rubin, 1987). However, he considers learning strategies, communication strategies and social strategies ... of strategies used by learners that contribute directly or indirectly to language learning. Rubin’s (1987) reason for excluding communication strategies and social strategies from learning strategies ... study; the term learningstrategies or “language learning strategies will be used with reference to the characteristics mentioned above. II.2.2. Classification of learningstrategies Rubin’s...
... in-vehicle dialogue systemsIn this paper we point at some of the dialogue strategies that are used in human-human dialogue during high cognitive load when resuming to aninterrupted topic. These strategies ... implicationsfor resumption strategies in an in-vehicle dialogue system.1 IntroductionMaking it useful and enjoyable to use a dialogue system is always important. The dialogue shouldbe easy and ... di-alogue to find out how resumptions are done inhuman-human dialogue and propose some impli-cations for resumption strategies in a dialogue sys-tem.2 Related workTo study resumption behaviour,...
... Content-Area Learning Part Two: Focus on Classroom Teaching and Learning Strategies Part Two: Focus on Classroom Teaching and Learning Strategies THE EDUCATION ALLIANCE at Brown University29true ... and learning. He describes a fi ve-part model of metacognition that combines thinking and refl ective processes: (1) preparing and planning for learning, (2) selecting and using learning strategies, ... change their classroom strategies to encourage more collaborative learning. The model also required teachers to explicitlyPart Two: Focus on Classroom Teaching and Learning Strategies THE EDUCATION...
... Marilyn A. Walker. 2005. Learning content selection rules for generating ob-ject descriptions in dialogue. JAIR, 24:157–194.Andrew McCallum. 2002. MALLET: AMAchine learning for LanguagE toolkit.http://mallet.cs.umass.edu.Jorge ... 08845-8019Matthew.Stone@rutgers.eduAbstractWe describe a methodology for learning adisambiguation model for deep pragmaticinterpretations in the context of situatedtask-oriented dialogue. The system accu-mulates training ... of the 11th Annual Conference on Compu-tational Learning Theory, pages 92–100.Dan Bohus, Xiao Li, Patrick Nguyen, and GeoffreyZweig. 2008. Learning n-best correction modelsfrom implicit user...
... instructions.Figure 1: System User Interaction (learning) 4.1 Dialogue ManagerThe dialogue manager identifies the next instruc-tion (dialogue act) to give to the user based on the dialogue management policy πdm. ... 6.1.4 The Dialogue SystemIn this section, we describe the different modulesof the dialogue system. The interaction betweenthe different modules is shown in figure 1 (in learning mode). The dialogue ... the time taken to com-plete each dialogue task. We used these data tobuild a regression model to calculate total dialogue time for dialogue simulations. The strategies werenever mixed (with...
... estimation needs to be done iteratively over different tasks and dialogue strategies. We plan to evaluate additional cooperative response strategies in TOOT (e.g., intensional summaries (Kalita et ... measures except User Turns, which reverses tasks 4 and 1. 784 The dialogue manager uses a finite state machine to implement dialogue strategies. Each state spec- ifies 1) an initial prompt (or response) ... users whether they had successfully Com- pleted the task. To measure dialogue quali~ or naturalness, we logged the dialogue manager's behavior on entering and exiting each state in...
... sounds:Re-ranking dialogue prompts based on TTS qual-ity for adaptive Spoken Dialogue Systems, Pro-ceedings of the Interspeech Special Session Ma-chine Learning for Adaptivity in Spoken Dialogue, pp ... reached.2.2 Reinforcement Learning Motivation to use RL in the dialogue problemcame from the fact that it can easily tackle someof the challenges that arise when implementing dialogue systems. One ... at all so we need an automated processto learn error-recovery strategies. More than thiswe can automatically learn near optimal dialogue 24affect the distribution of state the system visits(IAC...
... contributing directly to language learning Learning strategies Meta cognitive strategies These strategies are used to oversee, regulate or self-direct language learning. They involve various ... al. [4] divide language learning strategies into three main categories: Metacognitive Strategies: strategies which require planning for learning, thinking about the learning process as it ... the pioneers in the field of learning strategies, makes the distinction between strategies contributing directly to learning and those contributing indirectly to learning. His classification...