Abstract
In this work we propose an interpretation of the LSA framework which leads to a data-driven “conceptual” space creation suitable for an “intuitive” conversational agent.
The proposed approach allows overcoming the limitations of traditional, rule-based, chat-bots, leading to a more natural dialogue.
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Agostaro, F., Augello, A., Pilato, G., Vassallo, G., Gaglio, S. (2005). A Conversational Agent Based on a Conceptual Interpretation of a Data Driven Semantic Space. In: Bandini, S., Manzoni, S. (eds) AI*IA 2005: Advances in Artificial Intelligence. AI*IA 2005. Lecture Notes in Computer Science(), vol 3673. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11558590_39
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DOI: https://doi.org/10.1007/11558590_39
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