[PDF] Top 20 Predictive Performance of Dialog Systems
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Predictive Performance of Dialog Systems
... All of our experiments used a similar setup. The exper- iments were carried out with 18 subjects interacting with PARIS-SITI and ARISE. Each user first carried out the 4 scenarios listed in Figure 1 with PARIS-SITI and ... See full document
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Toward Automatically Measuring Learner Ability from Human Machine Dialog Interactions using Novel Psychometric Models
... Our work also directly relates to user modeling in di- alog systems. While there is plenty of theoretical work on such models (see for example, Kobsa, 1990; Kass, 2012), implemented statistical versions of user ... See full document
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Dependency Parsing for Spoken Dialog Systems
... We present the parsing accuracy on the ConvBank test set in Table 3. Training only using 1,000 an- notated in-domain ConvBank data reaches 75.65% and 58.29% accuracy on unlabeled and labeled edges respectively. This ... See full document
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Performance Prediction of Refrigeration Systems by Artificial Neural Network
... The complete operation cycle of a refrigeration system can be characterized by two major time-regimes, namely transient and steady state. In the latter, the system input/output parameters are constant over time; ... See full document
9
Probabilistic Ontology Trees for Belief Tracking in Dialog Systems
... enhance performance or guide useful clarification questions as shown by the improved performance when using the top 2–5 hypotheses; we assume an oracle for selecting the hypothesis with highest F1 among the ... See full document
10
Miscommunication handling in spoken dialog systems based on error-aware dialog state detection
... spoken dialog systems (SDSs) with which a user interacts through natural speech has been widely used in human-computer ...error-aware dialog state (DS) detection for robust miscommunication handling ... See full document
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Noise Correlation Aided Iterative Decoding for Magnetic Recording Channels
... 3 and 4 illustrate the BER performance of the three decoding schemes in comparison to that of the benchmark scheme in [18] and to the Noise Predictive Turbo Systems with Hard Feedback NP[r] ... See full document
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Are the Tools up to the Task? an Evaluation of Commercial Dialog Tools in Developing Conversational Enterprise grade Dialog Systems
... should i: is it ok to;am i allowed to;do i have permission to;is it bad to;is it against company policy to;is it okay to In order to generate paraphrases, we create two copies of each sentence, the unaltered input and a ... See full document
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A Proposal for a Predictive Performance Assessment Model in Complex Sociotechnical Systems Combining Fuzzy Logic and the Functional Resonance Analysis Method (FRAM)
... The most used fuzzy inference processes are the Mamdani Inference model [50] and the Sugeno Inference model [51]. The Mamdani model is more interpretable and adequate for handling qualitative knowledge and generating ... See full document
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A Study about Performance and Robustness of Model Predictive Controllers in WECs Systems
... model predictive controllers (MPCs) with hard and soft constraints has been carried ...on performance and robustness is realized through simulations carried out in which uncertainties in the WEC dynamics ... See full document
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Sentiment Adaptive End to End Dialog Systems
... We extracted 20 acoustic features, eight dia- logic features and 164 textual features. From Ta- ble 4, we see that the model combining all the three categories of features performed the best (0.686 in F-1, p < 1e 6 ... See full document
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A Strategy for Information Presentation in Spoken Dialog Systems
... the dialog system to book flights) to investigate the effects of the two strategies to information presentation (UMSR ...affected performance on the primary task ... See full document
51
Classifying Recognition Results for Spoken Dialog Systems
... in performance, there is still a change that, say, the second or third best feature from the previous itera- tion combines well with a new feature and leads to better ... See full document
8
Building Task Oriented Visual Dialog Systems Through Alternative Optimization Between Dialog Policy and Language Generation
... our dialog system significantly outperforms the base- line models from (Das et ...ter performance compared to SL-Q-IG in terms of ...fine-tuning dialog sys- tems with RL can further improve the ... See full document
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Extrinsic Evaluation of Dialog State Tracking and Predictive Metrics for Dialog Policy Optimization
... the performance of RL policies does not exactly align with the accuracy measured at the end of a dialog (Schedule 3) which would have been the best metric if the task were a one-time classification ...of ... See full document
8
The Interplay of User Centered Dialog Systems and AI Planning
... intelligent systems of intertwining dialog sys- tems and AI Planning into a MIP ...for dialog and planning as well as the development of a subordi- nate decision model, controlling who is in charge ... See full document
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Predictive performance of gentamicin dosing nomograms
... respectively. Predictive performance was then defined as the percentage of subjects whose peak and trough concentrations achieved the target therapeutic and nontoxic goals, ...the predictive ... See full document
10
Knowledge Acquisition Strategies for Goal Oriented Dialog Systems
... Many spoken dialog agents are designed to per- form specific tasks in a specified domain e.g., in- formation about public events in a city. To carry out its task, an agent parses an input utterance, fills in ... See full document
5
MAS Architectural Model for Dialog Systems with Advancing Conversations
... As discussed in the introduction section, our solution will include, suggesting a model for the dialog manager: i.e. We suggest a MAS Dialog Manager (MAS_DM). MAS_DM includes specialized intelligent agents ... See full document
6
Processing Japanese Self correction in Speech Dialog Systems
... ????????? ??????? ?????????????? ?? ????? ????? ?????? ?????? ???? ? ?? ?? ????? ?? ????? ??? ?????? ???? ? ?????? ??? ? ? ? ??? ??????? ? ?? ?????? ?? ? ????? ? ?? ?? ?? ????? ???????????????????????[.] ... See full document
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