Many natural language processing tasks, including the most advanced ones, routinely start
by several basic processing steps–tokenization and segmentation, most likely also POS …

This paper describes the neural dependency parser submitted by Stanford to the CoNLL
2017 Shared Task on parsing Universal Dependencies. Our system uses relatively simple …

This paper describes an emerging shared repository of large-text resources for creating
word vectors, including pre-processed corpora and pre-trained vectors for a range of …

We extend the arc-hybrid transition system for dependency parsing with a SWAP transition
that enables reordering of the words and construction of non-projective trees. Although this …

Much previous work has suggested that word order preferences across languages can be
explained by the dependency distance minimization constraint (Ferrer‐i Cancho, 2008 …

В данной статье организаторы GramEval 2020 рассматривают основные вопросы,
связанные с организацией дорожки, а также полученные участниками результаты …

This paper investigates interactions in parser performance for the two official standards for
written Norwegian: Bokmål and Nynorsk. We demonstrate that while applying models across …

The automatic extraction of a patient's natural history from Electronic Health Records (EHRs)
is a critical step towards building intelligent systems that can reason about clinical variables …

Cross-lingual dependency parsing approaches have been employed to develop
dependency parsers for the languages for which little or no treebanks are available using …

Dynamic oracle training has shown substantial improvements for dependency parsing in
various settings, but has not been explored for constituent parsing. The present article …