We have presented two methods -feature representation learning and resampling -from domain adaptation to close the gap of using explicit examples for unsupervised implicit discourse relation identification. Future work will explore the combination of this approach with more sophisticated techniques for instance selection<cite> (Rutherford and Xue, 2015)</cite> and feature selection (Park and Cardie, 2012; Biran and McKeown, 2013) , while also tackling the more difficult problems of multi-class relation classification and fine-grained level-2 discourse relations.