Question answering is assignment of automatically answering a question sit in natural language. To find the answer to a question, a question answer program have to use a collection of natural language documents or a pre-structured database. This program deal with a large range of question types including: fact, list, definition, cross- lingual questions, etc.
The first question answering systems were developed in the 1960s; they were natural language interfaces to expertsystems thar were made to specific domains. However, present question answering systems use text documents as their secondly knowledge source and combine various natural language processing techniques to search for the answers.
Question answering methods allow people to do their work without any problem a cause of their large list of explanations: the information are likely to be phrased in many different ways, contexts, and documents, giving people a lot of benefits.
REFERENCES:
-Question answering. (2009, May 7). In Wikipedia, The Free Encyclopedia. Retrieved 08:46, May 27, 2009, from http://en.wikipedia.org/w/index.php?title=Question_answering&oldid=288495130
– Question answering. ( April//20//2006). In Lycos. Retrieved . May, 27, 2009. From: http://usuarios.lycos.es/questionanswering/
