# Concurrent Parsing of Constituency and Dependency

## TL;DR

This paper introduces a novel joint parsing model that simultaneously handles constituent and dependency parsing, enabling mutual enhancement and achieving state-of-the-art results on standard benchmarks.

## Contribution

It presents the first model capable of concurrent constituent and dependency parsing, demonstrating the benefits of shared network components and improved performance.

## Key findings

- Dependency parsing benefits more from constituent structure.
- Achieved new state-of-the-art results on PTB and CTB datasets.
- Shared network components improve parsing accuracy.

## Abstract

Constituent and dependency representation for syntactic structure share a lot of linguistic and computational characteristics, this paper thus makes the first attempt by introducing a new model that is capable of parsing constituent and dependency at the same time, so that lets either of the parsers enhance each other. Especially, we evaluate the effect of different shared network components and empirically verify that dependency parsing may be much more beneficial from constituent parsing structure. The proposed parser achieves new state-of-the-art performance for both parsing tasks, constituent and dependency on PTB and CTB benchmarks.