Parserless Extraction; Using a Multidimensional Transient State Vector Machine

Introduction

Rosoka uses a novel approach to extracting information from text, which is not based on the classic mathematical model of a sender and receiver of information but instead of upon a mathematical model of a “third party listener” trying to interpret the information sent between the sender and receiver. This mathematical model predicts the presence of additional information that exists between the sender and receiver which is shared, i.e., “shared context”. This shared context model for interpreting possible meaning results in the same mathematical structure as seen in quantum mathematics in that possible messages are distinct from the message meaning. The shared context consists of a number of factors including lexical understanding, linguistic rules, and information or experience that is shared between the sender and receiver, either through world knowledge, personal experiences or prior agreements.  Read Full Text Here

 

 

 


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