Jabberwocky Parsing: Dependency Parsing with Lexical Noise

The Denoised Web Treebank: Evaluating Dependency Parsing under Noisy Input Conditions

We introduce the Denoised Web Treebank: a treebank including a normalization layer and a corresponding evaluation metric for dependency parsing of noisy text, such as Tweets. This benchmark enables the evaluation of pars…

RobertNLP at the IWPT 2021 Shared Task: Simple Enhanced UD Parsing for 17 Languages

This paper presents our multilingual dependency parsing system as used in the IWPT 2021 Shared Task on Parsing into Enhanced Universal Dependencies. Our system consists of an unfactorized biaffine classifier that operate…

Second-Order Unsupervised Neural Dependency Parsing

Most of the unsupervised dependency parsers are based on first-order probabilistic generative models that only consider local parent-child information. Inspired by second-order supervised dependency parsing, we proposed …

Typological Features for Multilingual Delexicalised Dependency Parsing

The existence of universal models to describe the syntax of languages has been debated for decades. The availability of resources such as the Universal Dependencies treebanks and the World Atlas of Language Structures ma…

Towards Fully Lexicalized Dependency Parsing for Korean