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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
PaLM: A Hybrid Parser and Language Model
Hao Peng, Roy Schwartz, Noah A. Smith
We present PaLM, a hybrid parser and neural language model. Building on an RNN language model, PaLM adds an attention layer over text spans in the left context. An unsupervised con…