![]() ![]() Input tweets from which a subset of tweets is selected by the annotators for Annotators are provided with a complete set of Generation (ground-truth for extractive summarization) relies on the wisdom and Existing approaches for ground-truth summary Suffer due to the lack of availability of good spectrum of datasets along with Verification of the effectiveness of disaster summarization approaches still However, the type of information posted significantly varies acrossÄisasters depending on several factors like the location, type, severity, etc. Information posted during disaster events on social media platforms, such as, ![]() Download a PDF of the paper titled PORTRAIT: a hybrid aPproach tO cReate extractive ground-TRuth summAry for dIsaster evenT, by Piyush Kumar Garg and 2 other authors Download PDF Abstract: Disaster summarization approaches provide an overview of the important ![]()
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