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Annual Meeting of the Department of Linguistics, School of Philology, AUTh May 2011; 05/2011
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Universal Access in Human-Computer Interaction. Applications and Services - 6th International Conference, UAHCI 2011, Held as Part of HCI International 2011, Orlando, FL, USA, July 9-14, 2011, Proceedings, Part IV; 01/2011
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Discovery Science, 5th International Conference, DS 2002, Lübeck, Germany, November 24-26, 2002, Proceedings; 01/2002
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Natural Language Processing - NLP 2000, Second International Conference, Patras, Greece, June 2-4, 2000, Proceedings; 01/2000
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ABSTRACT: The system described here accepts Greek and English as the natural language of communication of the user with the system and the execution of motion commands expressed in natural language. The system could be applied to the communication between a user and an artificial agent, which exists in a virtual environment and accepts commands and knowledge about the objects and the actions possible in this environment. The execution of a command by the agent may initially be wrong. The interaction of the agent with the human user results in learning by the agent the correct way of executing a given command. The main contribution of the present paper is based on the ability of the system implemented to learn from its user to understand and execute correctly motion commands that go beyond its initial capabilities. This learning takes place in cases when the system faces the problem of unknown words, of unknown senses of words or underspecified positions of objects. 1. Introduction The present ...
09/1999;
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Journal of Intelligent and Robotic Systems. 01/1999; 26:103-122.
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ABSTRACT: A Generative Lexicon for Compound Greek Medical Terms based on the ARISTA method is proposed in this paper. The concept of a representation independent definition-generating lexicon for compound words is introduced in this paper following the ARISTA method. This concept is used as a basis for developing a generative lexicon of Greek compound medical terminology using the senses of their component words expressed in natural language and not in a formal language. A Prolog program that was implemented for this task is presented that is capable of computing implicit relations between the components words in a sublanguage using linguistic and extra linguistic knowledge. An extra linguistic knowledge base containing knowledge derived from the domain or microcosm of the sublanguage is used for supporting the computation of the implicit relations. The performance of the system was evaluated by generating possible senses of the compound words automatically and judging the correctness of the results by comparing them with definitions given in a medical lexicon expressed in the language of the lexicographer.
