Review on Abstractive Text Summarization Techniques (ATST) for single and multi documents

In recent times, there is an enormous amount of data available on the internet. It is laborious for users to encapsulate large amount of data manually. Automatic text summarization can solve this problem by generating summary automatically. It can be categorized into extractive and abstractive text summarization techniques. Existing techniques of extractive text summarization extract important sentences from original document and generate summary without any modification of actual data. This technique may not present conflicting information properly. Abstractive text summarization can solve this problem by representing the extracted sentences into another understandable semantic form. This paper discusses abstractive text summarization techniques and highlights the parametric evaluation of these techniques.