Dependency Parsing in Natural Language Processing
Published:
In this project, we plan to implement the transition based and graph based dependency parser using neural network approaches for feature representation to extract the syntactic interpretations. We have further explore different approaches to generate the word embedding using Glove embedding, Elmo embedding. Our main contribution will be applying graph based embedding in transition based dependency parsing and graph based dependency parsing approach. Finally we have performed a comparative analysis of these approaches using the Universal