Top approaches to abstractive text summarization: A survey

2020 International Journal of Emerging Trends in Engineering Research  
We are in the age of information overload where a high volume of data and information is present over the internet. There are different types of text mining tasks are available to extract the appropriate data as per the user need. In text mining, summarization is a task where the gist of the source text is generated by the system. Extractive and abstractive are the two variants of text summarization based on context. Extractive approach requires less engineering and linguistic effort whereas
more » ... tractive text summarization is still a demanding task among natural language processing researchers. Abstractive text summarization system understands, interpret the original text and presents the text in new form therefore abstractive summarization require more engineering and linguistic efforts.
doi:10.30534/ijeter/2020/1058102020 fatcat:xxammqkunjdwve3omipqcor6qq