Fuzzy Methodology for Enhancement of Context Semantic Understanding

One of the many issues that confront traditional statistical approaches of natural language understanding (NLU) is on how to overcome the insufficient co-occurrence information caused by the limited boundary of statistical approaches. Researches have long used the imparting of human knowledge into statistical approaches, including definition of rules and collections of hierarchy of concepts. However, these are difficult to define even for a domain expert. They are also very much people and domain dependent. This study proposes a fuzzy approach to tackle these issues in a way as to provide a methodology for logical reorganizing context in order to tackle the issue of boundary limitation, to create the more reasonable and understandable word association which will be referenced as membership degree in latter stage, and to make the processes of imparting of human knowledge easier and less domain dependent. The accomplishment of these tasks could be achieved through the concept of precisiated natural language (PNL)