Abstract
In this paper, the performance of POPEL is demonstrated, an incremental and parallel natural language generation component for written German dialog contributions. The system's architectural approach is based on a cascaded model with feedback. It provides the flexibility essential for the integration into a dialog system. Furthermore, this architecture enables the seamless addition of the generation of multi-modal output to the decision flow of the generator. The rule-based gesture generator follows the simulation-oriented approach that mimics natural pointing gestures on a graphic. The analysis of the generation of a short text consisting of two sentences in different discourse contexts demonstrates POPEL's contextdependent mode of generation.
The work presented here is being supported by the German Science Foundation (DFG) in its Special Collaborative Program on AI and Knowledge-Based Systems (SFB 314), project N1 (XTRA/PRACMA). Thanks to Dagmar Schmauks who read this paper again and again and Alassane Ndiaye who rebooted XTRA.
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Reithinger, N. (1992). The performance of an incremental generation component for multi-modal dialog contributions. In: Dale, R., Hovy, E., Rösner, D., Stock, O. (eds) Aspects of Automated Natural Language Generation. IWNLG 1992. Lecture Notes in Computer Science, vol 587. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-55399-1_18
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DOI: https://doi.org/10.1007/3-540-55399-1_18
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