Abstract
This paper reports on an implementation of methods for generating indirect responses in question-answering dialogue based on domain-level strategic reasoning. User’s questions are interpreted as reflexes of underlying user requirements which are potentially satisfied by information beyond what is directly asked about. We find that the algorithms that reason about user requirements yield significantly shorter dialogues than a simpler baseline, and that users are able to interact with these systems in a pragmatically natural way
Cite
CITATION STYLE
Stevens, J. S., Benz, A., Reuße, S., Klabunde, R., & Raithel, L. (2015). Pragmatic query answering: Results from a quantitative evaluation. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9103, pp. 110–123). Springer Verlag. https://doi.org/10.1007/978-3-319-19581-0_9
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