[PDF] Top 20 A Strategy for Information Presentation in Spoken Dialog Systems

... This information could then be used to improve on the content structuring algorithm and learn more about the relationship between the user model and users’ exploration strategies and interests when performing the ... See full document

... A third, more recent, approach is trainable generation: techniques for automatically train- ing NLG modules, or hybrid techniques that adapt NLG modules to particular domains or user groups, e.g. (Langkilde, 2000; ... See full document

... This paper deals with an incremental turn- taking model that provides a novel solution for end-of-turn detection. It includes a flex- ible framework that enables active system barge-in. In order to accomplish this, a ... See full document

... The reward/evaluation function is constructed from the WoZ data, using a stepwise linear regres- sion, following the PARADISE framework (Walker et al., 2000). This model selects the features which significantly ... See full document

... in spoken dialogue ...tion Presentation (IP) strategy in a deployed tourist-information spoken dialogue ...trained Information Presentation strategy significantly ... See full document

... open-domain dialog system it is important to know the extra-linguistic context of the ...give information on the discourse domain, day and time, current weather conditions and location of the ...This ... See full document

... Literature in the first group describes the users’ speaking style by means of labels like natural and command. Hofmann et al. (2012), e.g., conduct a web-based study to find out how users would in- teract with internet ... See full document

... elling, spoken dialog systems; Rob Gaizauskas (Sheffield, UK)—Question answering, in- formation extraction, information retrieval; Mirella Lapata (Edinburgh, UK)—Semantics, including lexical ... See full document

... raw dialog history and gen- erate the next system utterance using a separate RNN ...the information that matches users’ needs in a task-oriented ...obtains information from a knowledge base (KB) that ... See full document

... for spoken language ...the Spoken Dialog Systems (SDS) ...Bus Information System from the Carnegie Mellon University in Pittsburgh has been formatted, parameterized and annotated with ... See full document

... technology, 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 ... See full document

... include dialog state in- formation, turn-taking features, such as whether the current user utterance is a barge-in, and semantic information derived from the dialog state and par- tial recognition ... See full document

... mobile dialog robot. These approaches mainly use local features such as dialog context, speech features and grammar-based-semantic fea- tures to determine the ...semantic information be- yond the ... See full document

... semantics presentation method differ compared to the pictures method, see Table ...semantics presentation method gives one of the semantic entities in form of a verb over all tasks, ... See full document

... approach, information presentation is driven by the user model, the actual dialogue con- text and the available ...explicit presentation of trade- offs would lead to a more informed choice and de- ... See full document

... Spoken dialog systems are widely used in te- lephony applications such as customer service, information access, and transaction ...eschewed spoken dialog in favor of tex- tual ... See full document

... To explore this we used Principal Components Analysis (PCA), as described in detail in (Ward and Vega, 2012). In short, this method finds patterns of prosodic features which co-occur fre- quently in the data, and so ... See full document

... When we regard DA recognition as a text clas- sification task, there are two difficulties in accu- rately recognizing a DA. In the first place, texts in DA recognition are often limited to a small num- ber of words while ... See full document

... Techniques for automatically training modules of a natural language gener- ator have recently been proposed, but a fundamental concern is whether the quality of utterances produced with trainable components can compete ... See full document

... As spoken dialog systems have improved, they have become an increasingly prominent part of our everyday ...with systems that not only perform a single, task-based function ...some ... See full document