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Analysis methods in neural language processing: A survey
The field of natural language processing has seen impressive progress in recent years, with
neural network models replacing many of the traditional systems. A plethora of new models …
neural network models replacing many of the traditional systems. A plethora of new models …
Analyzing multi-head self-attention: Specialized heads do the heavy lifting, the rest can be pruned
E Voita, D Talbot, F Moiseev, R Sennrich… - ar** layers of pre-trained transformer models
Transformer-based NLP models are trained using hundreds of millions or even billions of
parameters, limiting their applicability in computationally constrained environments. While …
parameters, limiting their applicability in computationally constrained environments. While …
Identifying and controlling important neurons in neural machine translation
Neural machine translation (NMT) models learn representations containing substantial
linguistic information. However, it is not clear if such information is fully distributed or if some …
linguistic information. However, it is not clear if such information is fully distributed or if some …
Neuron-level interpretation of deep nlp models: A survey
Abstract The proliferation of Deep Neural Networks in various domains has seen an
increased need for interpretability of these models. Preliminary work done along this line …
increased need for interpretability of these models. Preliminary work done along this line …