Scaling language models improves performance but comes with significant
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Large language models have been shown to achieve remarkable performance
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With recent improvements in natural language generation (NLG) models for...
Pre-trained models have revolutionized natural language understanding.
H...
We show that small and shallow feed-forward neural networks can achieve ...
We describe a baseline dependency parsing system for the CoNLL2017 Share...
Universal Dependencies (UD) offer a uniform cross-lingual syntactic
repr...
We introduce a globally normalized transition-based neural network model...
We present structured perceptron training for neural network transition-...
Syntactic constituency parsing is a fundamental problem in natural langu...