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Universal Dependencies v1: A Multilingual Treebank Collection
TLDR
This paper describes v1 of the universal guidelines, the underlying design principles, and the currently available treebanks for 33 languages, as well as highlighting the needs for sound comparative evaluation and cross-lingual learning experiments. Expand
The CoNLL 2007 Shared Task on Dependency Parsing
TLDR
The tasks of the different tracks are defined and how the data sets were created from existing treebanks for ten languages are described, to characterize the different approaches of the participating systems and report the test results and provide a first analysis of these results. Expand
MaltParser: A Data-Driven Parser-Generator for Dependency Parsing
TLDR
MaltParser is introduced, a data-driven parser generator for dependency parsing given a treebank in dependency format and can be used to induce a parser for the language of the treebank. Expand
MaltParser: A Language-Independent System for Data-Driven Dependency Parsing
TLDR
Experimental evaluation confirms that MaltParser can achieve robust, efficient and accurate parsing for a wide range of languages without language-specific enhancements and with rather limited amounts of training data. Expand
The CoNLL 2008 Shared Task on Joint Parsing of Syntactic and Semantic Dependencies
TLDR
This shared task not only unifies the shared tasks of the previous four years under a unique dependency-based formalism, but also extends them significantly: this year's syntactic dependencies include more information such as named-entity boundaries; the semantic dependencies model roles of both verbal and nominal predicates. Expand
Universal Dependency Annotation for Multilingual Parsing
TLDR
A new collection of treebanks with homogeneous syntactic dependency annotation for six languages: German, English, Swedish, Spanish, French and Korean is presented, made freely available in order to facilitate research on multilingual dependency parsing. Expand
The CoNLL-2009 Shared Task: Syntactic and Semantic Dependencies in Multiple Languages
TLDR
This shared task combines the shared tasks of the previous five years under a unique dependency-based formalism similar to the 2008 task and describes how the data sets were created and show their quantitative properties. Expand
An Efficient Algorithm for Projective Dependency Parsing
TLDR
This paper presents a deterministic parsing algorithm for projective dependency grammar that has been experimentally evaluated in parsing unrestricted Swedish text, achieving an accuracy above 85% with a very simple grammar. Expand
Algorithms for Deterministic Incremental Dependency Parsing
TLDR
This article presents a general framework for describing and analyzing algorithms for deterministic incremental dependency parsing, formalized as transition systems, and shows that all four algorithms give competitive accuracy, although the non-projective list-based algorithm generally outperforms the projective algorithms for languages with a non-negligible proportion of non- projective constructions. Expand
CoNLL 2018 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies
TLDR
This overview paper defines the task and the updated evaluation methodology, describes data preparation, report and analyze the main results, and provides a brief categorization of the different approaches of the participating systems. Expand
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