A Conversational Agent Based on a Conceptual Interpretation of a Data Driven Semantic Space

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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Bibliographic Details
Published inAIIA 2005: Advances in Artificial Intelligence pp. 381 - 392
Main Authors Agostaro, Francesco, Augello, Agnese, Pilato, Giovanni, Vassallo, Giorgio, Gaglio, Salvatore
Format Book Chapter Conference Proceeding
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2005
Springer
SeriesLecture Notes in Computer Science
Subjects
Applied sciences
Artificial intelligence
Computer science; control theory; systems
Conceptual Space
Exact sciences and technology
Latent Semantic Analysis
Semantic Space
Singular Vector
Text Corpus
Multiagent system
User interface
Semantics
Expert system
Knowledge base
Artificial intelligence
Intelligent agent
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Summary: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.
ISBN:9783540290414
3540290419
ISSN:0302-9743
1611-3349
DOI:10.1007/11558590_39