most citedBridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management

2 citations · 2 across the 1 of their papers we have counts for

collaborators

2 papers

cs.CL2021★ 2 cited

Bridging the gap between supervised classification and unsupervised topic modelling for social-media assisted crisis management

Mikael Brunila, Rosie Zhao, Andrei Mircea +2

Social media such as Twitter provide valuable information to crisis managers and affected people during natural disasters. Machine learning can help structure and extract informati…

cs.CL2020

Discourse-Aware Unsupervised Summarization of Long Scientific Documents

Yue Dong, Andrei Mircea, Jackie C. K. Cheung

We propose an unsupervised graph-based ranking model for extractive summarization of long scientific documents. Our method assumes a two-level hierarchical graph representation of…