System, methods, and data structure for machine-learning of contextualized symbolic associations

摘要

A system and methods and data structure for quantitatively assessing associations between terms or symbols in natural language and non-natural language contents. Some of the terms or symbols represent objects or concepts or semantic attributes; some other terms or symbols represent properties associated with the objects or concepts or semantic attributes. The methods include obtaining a first group of text contents or non-natural language data content, specifying a target term or symbol or semantic attribute, and identifying contextual attributes of the target term or symbol. The contextual attributes include grammatical and semantic attributes as well as positional and distance attributes. Association strength values are calculated for related terms or symbols based on the contextual attributes of the target term or symbol or semantic attribute.