Parsing with Context Embeddings

no code implementations • CONLL 2017 • {\"O}mer K{\i}rnap, Berkay Furkan {\"O}nder, Deniz Yuret

We introduce context embeddings, dense vectors derived from a language model that represent the left/right context of a word instance, and demonstrate that context embeddings significantly improve the accuracy of our transition based parser.

Language Modelling Word Embeddings +1