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CrowdSummary : Crowdsourced Abstractive Summary Generation with an Intelligent Interface

A well-written abstractive summary can save readers much time and effort in comprehending the information in an extensive document. However, abstractive summary generation is a task that is difficult for both humans and computers. For humans, it takes ample time for one to digest all of the information in a document and select important sentences that can be used to generate the abstract. On the other hand, computers can easily select important sentences in a document using statistical natural language processing algorithms. However, it is still not possible for computers to combine the important sentences in a document and generate a concise and coherent abstract, which is a task that is relatively easy for humans. In this project, we aim at building a crowd-computer hybrid system that first locates important sentences using statistical natural language processing and then recruits crowd workers to combine these sentences to generate high-quality abstractive summaries for users in a cheap and affordable manner.