Abstract
We aim at improving the health information search engine CISMeF, by including a conversational agent that interacts with the user in natural language. To study the cognitive processes involved during information search, a bottom-up methodology was adopted. An experiment has been set up to obtain human dialogs related to such searches. In this article, the emphasis lays on the analysis of these human dialogs. © 2008 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Loisel, A., Kotowicz, J. P., & Chaignaud, N. (2008). An issue-based approach to information search modelling: Analysis of a human dialog corpus. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5246 LNAI, pp. 609–616). https://doi.org/10.1007/978-3-540-87391-4_77
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