Titlebook: Situated Dialog in Speech-Based Human-Computer Interaction; Alexander Rudnicky,Antoine Raux,Teruhisa Misu Book 2016 Springer International

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书目名称Situated Dialog in Speech-Based Human-Computer Interaction影响因子(影响力)




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书目名称Situated Dialog in Speech-Based Human-Computer Interaction被引频次




书目名称Situated Dialog in Speech-Based Human-Computer Interaction被引频次学科排名




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书目名称Situated Dialog in Speech-Based Human-Computer Interaction年度引用学科排名




书目名称Situated Dialog in Speech-Based Human-Computer Interaction读者反馈




书目名称Situated Dialog in Speech-Based Human-Computer Interaction读者反馈学科排名

Peculate

Syntactic Filtering and Content-Based Retrieval of Twitter Sentences for the Generation of System Uts is difficult due to their noise. This paper proposes tackling such noise by syntactic filtering and content-based retrieval. Syntactic filtering ascertains the valid sentence structure as system utterances, and content-based retrieval ascertains that the content has the relevant information relate

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Chat-Like Conversational System Based on Selection of Reply Generating Module with Reinforcement Leaentence from an article of Web news, retrieving a definition sentence in Wikipedia, question-answering, and so on. A dialogue strategy corresponds to which reply generating module should be chosen according to a user input and the dialogue history, and is learned in the MDP framework. User evaluatio

Palliation

Investigating Critical Speech Recognition Errors in Spoken Short Messages to errors. If the system can automatically detect the presence of an error, it can use dialog to clarify or correct its transcript. In this work, we present our analysis on what types of errors a recognition system makes, and propose a method to detect these critical errors. In particular, we disti

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Detecting ‘Request Alternatives’ User Dialog Acts from Dialog Contexto change their mind during the dialog. These can be detected reasonably well using ASR n-grams and additional features derived from dialog context on the Dialog State Tracking Challenge corpus. We are somewhat surprised at the high detection F1 score (90 %), and find that with transcripts we can obt

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