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Mohamed H. Haggag

Ali Allam

Arab Academy for Science, Technology & Maritime Transport

Faculty of Computers & information, Helwan University

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The Question Answering Systems: A Survey.

Ali Mohamed Nabil Allam

¹

and Mohamed Hassan Haggag

²

1

College of Management & Technology, Arab Academy for Science, Technology and Maritime Transport, Cairo, Egypt.

2

Faculty of Computers & Information, Helwan University, Cairo, Egypt. Email: [email protected] , [email protected] Abstract – Question Answering (QA) is a specialized area in the field of Information Retrieval (IR). The QA systems are concerned with providing relevant answers in response to questions proposed in natural language. QA is therefore composed of three distinct modules, each of which has a core component beside other supplementary components. These three core components are: question classification, information retrieval, and answer extraction. Question classification plays an essential role in QA systems by classifying the submitted question according to its type. Information retrieval is very important for question answering, because if no correct answers are present in a document, no further processing could be carried out to find an answer. Finally, answer extraction aims to retrieve the answer for a question asked by the user. This survey paper provides an overview of Question-Answering and its system architecture, as well as the previous related work comparing each research against the others with respect to the components that were covered and the approaches that were followed. At the end, the survey provides an analytical discussion of the proposed QA models, along with their main contributions, experimental results, and limitations. Keywords – Question Answering, Natural Language Processing, Information Retrieval, Question Classification, Answer Extraction, Evaluation Metrics