Before revision:  In this paper, we show that unsupervised domain adaptation through multi-task learning can be a useful framework to leverage data from past crisis events , as well as exploit additional web resources for training efficient information filtering models during an ongoing crisis.
After revision:  In this paper, we hypothesize that unsupervised domain adaptation through multi-task learning can be a useful framework to leverage data from past crisis events , as well as exploit additional web resources for training efficient information filtering models during an ongoing crisis.