no code implementations • 10 May 2024 • Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat
In the literature, there are two types of approaches for disaster summarization, namely, supervised and unsupervised approaches.
no code implementations • 10 May 2024 • Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat
The initial phase, known as the extractive phase, involves identifying the most relevant tweets.
no code implementations • 19 May 2023 • Piyush Kumar Garg, Roshni Chakraborty, Srishti Gupta, Sourav Kumar Dandapat
Therefore, given tweets related to a disaster, IKDSumm ensures fulfillment of the summarization key objectives, such as information coverage, relevance, and diversity in summary without any human intervention.
no code implementations • 19 May 2023 • Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat
We validate the effectiveness of PORTRAIT on 5 disaster events through quantitative and qualitative comparisons of ground-truth summaries generated by existing intuitive approaches, a semi-automated approach, and PORTRAIT.
no code implementations • 17 Jan 2022 • Roshni Chakraborty, Ritwika Das, Joydeep Chandra
It is a binary classification problem that predicts whether an edge between a pair of nodes is positive or negative.
no code implementations • 27 Jan 2019 • Roshni Chakraborty, Abhijeet Kharat, Apalak Khatua, Sourav Kumar Dandapat, Joydeep Chandra
In our proposed model, we have considered the users' involvement as well as the users' reaction towards an article to predict the popularity of the article.