Abstract

This paper describes a text representation and searching technique labeled as "Semantic Vector Space Model" (SVSM). The proposed technique combines Salton's VSM (1991) with distributed representation of semantic case structures of natural language text. It promises a way of abstracting and encoding richer semantic information of natural language text, and therefore, a better precision performance of IR, without involving sophisticated semantic processing.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">&gt;</ETX>

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