Text Messaging-Based Medical Diagnosis Using Natural Language Processing and Fuzzy Logic

Fuzzy Logic and Natural Language

One of the most important features of fuzzy set theory and fuzzy logic is their power to model semantics of a certain part of natural language. The results are further elaborated in topics such as computing with words which encompasses computing with fuzzy numbers, the theory of evaluating linguistic expressions as well as that of fuzzy IF-THEN rules and approximate reasoning. In the talk, we w...

Visions for Logic-Based Natural Language Processing

The purpose of this paper is to outline the requirements that the eld of Natural Language Processing (NLP) has for a declarative successor to Prolog. Logic programming approaches play a major role in NLP, and likewise considerations of NLP have had a strong in uence on logic programming ([Colmerauer, 1978], [Pereira and Warren, 1980], [Smolka, 1992]). We will review the state of the art in NL g...

Toward Medical Ontology using Natural Language Processing

In this paper, we introduce our project aiming to build a medical ontology, and also present a method to estimate term relations and term classification, which are the basic structure for the ontology. First, relations between medical terms are extracted from a medical electronic dictionary. Next, the terms are classified based on the co-occurrence verbs. Preliminary experimental results show t...

Systematic literature review of fuzzy logic based text summarization

Information Overloadrq  is not a new term but with the massive development in technology which enables anytime, anywhere, easy and unlimited access; participation & publishing of information has consequently escalated its impact. Assisting userslq    informational searches with reduced reading surfing time by extracting and evaluating accurate, authentic & relevant information are the primary c...

Natural Language Processing and Text Mining