Download SmartKom: Foundations of Multimodal Dialogue Systems by Wolfgang Wahlster PDF

By Wolfgang Wahlster

With contributions through major scientists within the box, this ebook offers the 1st finished evaluate of the result of the seminal SmartKom venture – essentially the most complicated multimodal discussion platforms around the world.

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Additional info for SmartKom: Foundations of Multimodal Dialogue Systems (Cognitive Technologies)

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A potential reference object for the deictic gesture (the movie title “Enemy of the State”) has been found in the visual context. S MART KOM assumes that the discourse topic relates to an electronic program guide and the intended action of Smartakus refers to the retrieval of information about a particular broadcast. 16 Wolfgang Wahlster 8 Plan-Based Modality Fission in SmartKom In S MART KOM, modality fission is controlled by a presentation planner. The input to the presentation planner is a presentation goal encoded in M3L as a modality-free representation of the system’s intended communicative act.

In the next section, we first present the dialogue descriptions we use to define and document the basic interactions in S MART KOM as well as the illustrative dialogue protocols that can be generated automatically from the extensive log data resulting from a system run. Then we walk through an original sample dialogue between a test user and the system prototype to provide an insight into the capabilities of the S MART KOM demonstrator. A presentation on paper, of course, can only provide a rough sketch of a multimodal interaction.

4. Smartakus: [displays a TV listing] Here [points to the listing] is a listing of tonight’s TV broadcasts (see Fig. 10). 5. User: Please tape the third one! 9 A Three-Tiered Multimodal Discourse Model Discourse models for spoken dialogue systems store information about previously mentioned discourse referents for reference resolution. However, in a multimodal dialogue system like S MART KOM, reference resolution relies not only on verbalized, but also on visualized information. A multimodal discourse model must account for entities not explicitly mentioned (but understood) in a discourse, by exploiting the verbal, the visual and the conceptual context.

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