3 citations · 9 across the 11 of their papers we have counts for
5 papers · 1 filter
EquiSumm : A Gender Bias-Aware Framework for Inclusive Tweet Summarization
Chaitanya Wanjari, Jessica Kamal, Riddhi Jain +2
While social media platforms, such as Twitter, provide a medium for large-scale opinion sharing during news events, it is manually impossible for individuals or media agencies to p…
ADSumm: Annotated Ground-truth Summary Datasets for Disaster Tweet Summarization
Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat
Online social media platforms, such as Twitter, provide valuable information during disaster events. Existing tweet disaster summarization approaches provide a summary of these eve…
ATSumm: Auxiliary information enhanced approach for abstractive disaster Tweet Summarization with sparse training data
Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat
The abundance of situational information on Twitter poses a challenge for users to manually discern vital and relevant information during disasters. A concise and human-interpretab…
IKDSumm: Incorporating Key-phrases into BERT for extractive Disaster Tweet Summarization
Piyush Kumar Garg, Roshni Chakraborty, Srishti Gupta +1
Online social media platforms, such as Twitter, are one of the most valuable sources of information during disaster events. Therefore, humanitarian organizations, government agenci…
PORTRAIT: a hybrid aPproach tO cReate extractive ground-TRuth summAry for dIsaster evenT
Piyush Kumar Garg, Roshni Chakraborty, Sourav Kumar Dandapat
Disaster summarization approaches provide an overview of the important information posted during disaster events on social media platforms, such as, Twitter. However, the type of i…