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Aboalarbe/Question-Answering-NMEC-Guide

Domaine:

natural language processing
Créateur:
Abo
Hôte:
National Museum of Egyptian Civilization has open months ago, they announced that they need a system that helps any visitor to ask any question about Ancient Egypt, the visitor is interested in a concise, comprehensible, and correct answer, which may refer to a word, sentence, or a paragraph. Information based question answering systems (NMEC) is an appropriate solution to this case. # Question Answering System (NMEC) National Museum of Egyptian Civilization has open months ago, they announced that they need a system that helps any visitor to ask any question about Ancient Egypt, the visitor is interested in a concise, comprehensible, and correct answer, which may refer to a word, sentence, or a paragraph. Information based question answering systems (NMEC) is an appropriate solution to this case. ## Authors - @Mohamed Sayed - @Abdelmageed Ahmed - @Sara Hossam - @Ahmed Shehata ## Documentation Question Answering System (QAS) is one of the most promising research areas in NLP (Natural Language Processing) which consisting of multiple processing steps such as Corpus Preparations, Information Retrieval (IR), Information Extraction (IE), Linguistic and Artificial Intelligence (AI). The Question Answering system has a lot of applications such as extracting information from documents, Online examination system, document management, Language learning, human. Question Answering (QA) systems have emerged as powerful platforms for automatically answering questions asked by humans in natural language using either a pre-structured database or a collection of natural language documents, QA systems make it possible asking questions and retrieve the answers using natural language queries and may be considered as an advanced form of Information Retrieval (IR), Question Answering systems in information retrieval are tasks that automatically answer the questions asked by humans in natural language using either a pre-structured database or a collection of naturallanguage document A lot of studies have been presented in this area. Most of them defined an architecture of Question Answering systems in three macro modules as shown in figure1 [1], Question Processing, Document Processing and Answer Processing as showed in the next figure. Besides the main architecture, QA systems can be defined by the paradigm each one implements: 1. Information Retrieval QA …