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A Review on Question Generation System from Punjabi Text Contain Historical Information?

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 8)

Publication Date:

Authors : ; ;

Page : 185-189

Keywords : Question Generation System (QGS); Question Generation; Natural Language Processing (NLP); Named Entity Recognition (NER); Rule based Approach;

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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 In this paper we are presenting the review on question generation from historical documents written in Punjabi language.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.

Last modified: 2014-08-13 19:43:27