Easy-First Dependency Parsing with Hierarchical Tree LSTMs
Easy-First Dependency Parsing with Hierarchical Tree LSTMs
We suggest a compositional vector representation of parse trees that relies on a recursive combination of recurrent-neural network encoders. To demonstrate its effectiveness, we use the representation as the backbone of a greedy, bottom-up dependency parser, achieving very strong accuracies for English and Chinese, without relying on external word embeddings. …