Published Paper Details:

We propose classification of abstracts by considering their context. In proposed approach, we initially classify the documents. We find the context of an abstract by looking for associated terms which help us understand the focus of the abstract and interpret the information beyond simple keywords. The results indicate that context based classification increases accuracy of classification to great extent and in turn discovers different contexts of the documents. Further this approach can found to be very useful for applications beyond abstract classification where word speaks very little and lead to ambiguous state but context can lead you to right decision/classification. Automatic question generation is part of NLP i.e. Natural Language processing, is an area of research where many researcher have presented their work and is still an area under research to achieve higher accuracy. Many researcher have worked in the area of automatic question generation through NLP and numerous techniques and models have been developed to generate the different types of question automatically and in many different languages work has been done like English, Punjabi, China, Spain, etc.