Eman Mohamed Nabil Alkholy¹, Mohamed Hassan Haggag¹ and Constantine's Koutsojannis², ¹Helwan University, Egypt and ²Health Physics & Computational Intelligence Lab, Greece

In real world computing environment with using a computer to answer questions has been a human dream since the beginning of the digital era, Question-answering systems are referred to as intelligent systems, that can be used to provide responses for the questions being asked by the user based on certain facts or rules stored in the knowledge base it can generate answers of questions asked in natural , and the first main idea of fuzzy logic was to working on the problem of computer understanding of natural language, so this survey paper provides an overview on what Question-Answering is and its system architecture and the possible relationship and different with fuzzy logic, as well as the previous related research with respect to approaches that were followed. At the end, the survey provides an analytical discussion of the proposed QA models, along or combined with fuzzy logic and their main contributions and limitations.

Question-answering, Neutral language processing, Fuzzy Logic, Answer Extraction, Evaluation Metrics