Add to ORKGIn this report we explore alternative representations of coordination structures within dependency trees and study the impact of particular solutions on performance of two selected state-of-the-art dependency parsers across a typologically diverse range of 25 languages
The Conference on Computational Natural Language Learning features a shared task, in which participa...
Dependency parsing has been a prime focus of NLP research of late due to its ability to help parse l...
As the interest of the NLP community grows to develop several treebanks also for languages other tha...
The growing work in multi-lingual parsing faces the challenge of fair comparative evaluation and per...
International audienceThe existence of universal models to describe the syntax of languages has been...
Each year the Conference on Com-putational Natural Language Learning (CoNLL)1 features a shared task...
This article presents a comparative analysis of four different syntactic typological approaches appl...
The goal of this report is to summarize our experiments and present the final result of our particip...
This article presents a comparative analysis of dependency parsing results for a set of 16 languages...
Previous studies in data-driven dependency parsing have shown that tree transformations can improve ...
This thesis presents several studies in neural dependency parsing for typologically diverse language...
For languages such as English, several constituent-to-dependency conversion schemes are pro-posed to...
We present a study that compares data-driven dependency parsers obtained by means of annotation proj...
185 pagesAs a fundamental task in natural language processing, dependency-based syntactic analysis p...
© 2019 Association for Computational Linguistics This paper explores the task of leveraging typology...
The Conference on Computational Natural Language Learning features a shared task, in which participa...
Dependency parsing has been a prime focus of NLP research of late due to its ability to help parse l...
As the interest of the NLP community grows to develop several treebanks also for languages other tha...
The growing work in multi-lingual parsing faces the challenge of fair comparative evaluation and per...
International audienceThe existence of universal models to describe the syntax of languages has been...
Each year the Conference on Com-putational Natural Language Learning (CoNLL)1 features a shared task...
This article presents a comparative analysis of four different syntactic typological approaches appl...
The goal of this report is to summarize our experiments and present the final result of our particip...
This article presents a comparative analysis of dependency parsing results for a set of 16 languages...
Previous studies in data-driven dependency parsing have shown that tree transformations can improve ...
This thesis presents several studies in neural dependency parsing for typologically diverse language...
For languages such as English, several constituent-to-dependency conversion schemes are pro-posed to...
We present a study that compares data-driven dependency parsers obtained by means of annotation proj...
185 pagesAs a fundamental task in natural language processing, dependency-based syntactic analysis p...
© 2019 Association for Computational Linguistics This paper explores the task of leveraging typology...
The Conference on Computational Natural Language Learning features a shared task, in which participa...
Dependency parsing has been a prime focus of NLP research of late due to its ability to help parse l...
As the interest of the NLP community grows to develop several treebanks also for languages other tha...