121 citations · 199 across the 10 of their papers we have counts for
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cs.CL2019
RNN Architecture Learning with Sparse Regularization
Jesse Dodge, Roy Schwartz, Hao Peng +1
Neural models for NLP typically use large numbers of parameters to reach state-of-the-art performance, which can lead to excessive memory usage and increased runtime. We present a…
cs.CL2019★ 4 cited
Text Generation with Exemplar-based Adaptive Decoding
Hao Peng, Ankur P. Parikh, Manaal Faruqui +2
We propose a novel conditioned text generation model. It draws inspiration from traditional template-based text generation techniques, where the source provides the content (i.e.,…