Amir Langer

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This paper presents a system that carries out highly eeective searches over collections of textual information, such as those found on the Internet. The system is comprised of two major parts. The rst part consists of an agent, MUSAG, that learns to relate concepts that are semantically \similar" to one another. In other words, this agent dynamically builds(More)
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