GLoMo: Unsupervised Learning of Transferable Relational Graphs

Zhilin Yang, Jake Zhao, Bhuwan Dhingra, Kaiming He, William W. Cohen, Russ R. Salakhutdinov, Yann LeCun

Neural Information Processing Systems 

This work explores the possibility oflearning generic latentrelationalgraphs thatcapturedependencies betweenpairsofdataunits(e.g., words or pixels) from large-scale unlabeled data and transferring the graphs to downstream tasks.

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