Question Generation from Text

Abstract

A goal to generate questions based on text which is given as input to the system. Our proposed system aims at generating the questions by analyzing vivid texts. Soft-copy of the text is given to the system, and wh-question is the expected output. Question Generation is a major challenge for natural language understanding communities, recently QG is turned now into an information seeking systems. Interest of  the  Natural  Language  Processing , Information  Retrieval and Natural Language  Generation  communities  now have  identified  the  Text-to-Question  generation as  a prominent task for  a  system, where, given  a  text  which can be anything such as: a single sentence, a word or set of words, a text or set  of  texts,  an inadequate question, and so on; and its goal would be to make  a  set  of  questions. Also, semantics of the words extracted are been checked for appropriate sentence formation.