A Review on Question Generation System from Punjabi Text Contain Historical Information?
Parshan Singh, Rajbhupinder Kaur?
Journal Title:International Journal of Computer Science and Mobile Computing - IJCSMC
Automatic Question generation is a process of generating questions automatically from a text with
the help of various NLP techniques. Main challenging area while generating the questions from a text
automatically is that it must be correct semantically. Rule based approach is most common approach to
generate the questions automatically from a text. In this paper we are presenting the review on question
generation from historical documents written in Punjabi language. To generate the questions automatically
from a Punjabi text a corpora in Punjabi language which contain various named entities such as names of
persons, locations, cities, countries and other entities is required which is not yet available. So a NER
(Named Entity Recognition) Tool is also need to be created which recognizes the names from a given
sentence and generate the appropriate questions from it.