We propose a novel type of balanced clustering algorithm to approximate
...
We propose a method for unsupervised parsing based on the linguistic not...
We propose procedures for evaluating and strengthening contextual embedd...
Large Transformer models routinely achieve state-of-the-art results on a...
Neural parsers obtain state-of-the-art results on benchmark treebanks fo...
We present KERMIT, a simple insertion-based approach to generative model...
We present a constituency parsing algorithm that maps from word-aligned
...
We extend our previous work on constituency parsing (Kitaev and Klein, 2...
We demonstrate that replacing an LSTM encoder with a self-attentive
arch...