Topic-Oriented Spoken Dialogue Summarization for Customer Service with Saliency-Aware Topic Modeling

Topic Switching Strategies for Spoken Dialogue Systems

One of the most important challenges researchers are facing within the field of Spoken Dialogue Systems is that life is neither domain dependent nor driven by a single task. In the recent past various methods to handle multiple tasks or topics in parallel within spoken human-human and human-computer dialogues have been investigated. In this paper we compare several task switching approaches suc...

Unsupervised Topic Modeling Approaches to Decision Summarization in Spoken Meetings

We present a token-level decision summarization framework that utilizes the latent topic structures of utterances to identify “summaryworthy” words. Concretely, a series of unsupervised topic models is explored and experimental results show that fine-grained topic models, which discover topics at the utterance-level rather than the document-level, can better identify the gist of the decisionmak...

Comprehensive Exam Topic: (Spoken) Dialogue Systems

Topic Information and Spoken Dialogue Systems

The paper concerns dialogue coherence measured relative to dialogue topics, and the usefulness of topic information in language modelling for speech recognition. It proposes a linguistically motivated method to recognize topics in task-oriented dialogues and reports preliminary results of the accuracy of the method. The method combines a top-down approach (topic tree) and a bottom-up approach (...

Prosody and topic structuring in spoken dialogue

Prosody is critical in conveying topic coherence and the salience of information in speech. In this study we propose that the overall coherence is brought about through pitch level structuring of phrases at both the local level of hierarchical phrase unit positioning and the global level of pitch baseline rise and fall as climax and resolution. Our results show that prosody has critical importa...