Text generation: using discourse strategies and focus constraints to generate natural language text
Text generation: using discourse strategies and focus constraints to generate natural language text
The use of explicit user models in text generation: tailoring to a user's level of expertise
The use of explicit user models in text generation: tailoring to a user's level of expertise
Specifying composite illustrations with communicative goals
UIST '89 Proceedings of the 2nd annual ACM SIGGRAPH symposium on User interface software and technology
Finding new rules for incomplete theories: explicit biases for induction with contextual information
Proceedings of the sixth international workshop on Machine learning
A New Level of Language Generation Technology: Capabilities and Possibilities
IEEE Expert: Intelligent Systems and Their Applications
Multimodal presentation of dynamic object scenarios on the web
Web3D '03 Proceedings of the eighth international conference on 3D Web technology
Designing illustrated texts: how language production is influenced by graphics generation
EACL '91 Proceedings of the fifth conference on European chapter of the Association for Computational Linguistics
| Hi-index | 0.00 |
To generate multimedia explanations, a system must be able to coordinate the use of different media in a single explanation. In this paper, we present an architecture that we have developed for COMET (COordinated Multimedia Explanation Testbed), a system that generates directions for equipment maintenance and repair, and we show how it addresses the coordination problem. In particular, we focus on the use of a single content planner that produces a common content description used by multiple media-specific generators, a media coordinator that makes a fine-grained division of information between media, and bidirectional interaction between media-specific generators to allow influence across media.