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Reference Resolution Challenges for Intelligent Agents: The Need for Knowledge
July/August 2009 (vol. 24 no. 4)
pp. 47-58
Marjorie McShane, University of Maryland Baltimore County
This paper presents a vision of how language-endowed, next-generation intelligent agents might resolve—that is, fully interpret—references to objects and events in language input. It describes some of the more difficult reference phenomena that are not being sufficiently treated by practical systems and suggests what kinds of knowledge must be available to intelligent agents to enable them to reach human competence in reference resolution.

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Index Terms:
linguistics, natural language, ieee intelligent systems, human-level intelligence, ai
Citation:
Marjorie McShane, "Reference Resolution Challenges for Intelligent Agents: The Need for Knowledge," IEEE Intelligent Systems, vol. 24, no. 4, pp. 47-58, July-Aug. 2009, doi:10.1109/MIS.2009.79
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