Papers with graph-based neural dependency parser

1 papers
An Empirical Investigation of Structured Output Modeling for Graph-based Neural Dependency Parsing (P19-1)

Copied to clipboard

Challenge: In the past few years, graph-based dependency parsers have led to impressive empirical successes on parsing accuracy.
Approach: They propose to use a graph-based dependency parser to model global outputs.
Outcome: The proposed model has been shown to perform better on sentence-level Complete Match metric compared with the previous model.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations