Automatic generation of a complex dialogue history
Natural Language I: Generation
First Online:
Abstract
We briefly review our dialogue model and present a first approach to automatic analysis of interactive information retrieval dialogues based on this model. We discuss the assumptions that we have to place on the model, present an algorithm that given a certain action from either participant calculates the set of relevant partial structures that could represent this action, and discuss some criteria for selecting one of these structures.
Keywords
Partial Structure Parse Tree Dialogue Model Multimedia Information Retrieval Relevant Path
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
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© Springer-Verlag Berlin Heidelberg 1996