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 …