scispace - formally typeset
Open AccessProceedings Article

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.
Abstract
We present a new collection of treebanks with homogeneous syntactic dependency annotation for six languages: German, English, Swedish, Spanish, French and Korean. To show the usefulness of such a resource, we present a case study of crosslingual transfer parsing with more reliable evaluation than has been possible before. This ‘universal’ treebank is made freely available in order to facilitate research on multilingual dependency parsing. 1

read more

Content maybe subject to copyright    Report

Citations
More filters
Journal ArticleDOI

Dependency structure annotation in the IULA Spanish LSP Treebank

TL;DR: The IULA Spanish LSP Treebank is the first technical corpus of Spanish annotated at surface syntactic level, following the dependency grammar theory, developed in the framework of the European project METANET4U.
Journal ArticleDOI

Knowledge bases and description logics applications to natural language texts analysis

TL;DR: The article describes some ways of knowledge bases application to natural language texts analysis and solving some of their processing tasks, including checking constructed syntactic and semantic models for consistency and question answering.
Proceedings ArticleDOI

A Regularization-based Framework for Bilingual Grammar Induction

TL;DR: A framework in which the learning process of the grammar model of one language is influenced by knowledge from the model of another language, and three regularization methods that encourage similarity between model parameters, dependency edge scores, and parse trees are proposed.

Experiments for Dependency Parsing of Greek

TL;DR: This paper describes experiments for statistical dependency parsing using two different parsers trained on a recently extended dependency treebank for Greek and shows how scores obtained by the two parsers are influenced by morphology and dependency types as well as sentence and arc length.
Proceedings Article

Unsupervised Aspect Term Extraction in Online Drugs Reviews.

TL;DR: A new unsupervised and knowledge-based method is proposed for extracting aspects in drug reviews based on linguistic features, more specifically dependency paths in the syntactic tree of a review.
References
More filters
ReportDOI

Building a large annotated corpus of English: the penn treebank

TL;DR: As a result of this grant, the researchers have now published on CDROM a corpus of over 4 million words of running text annotated with part-of- speech (POS) tags, which includes a fully hand-parsed version of the classic Brown corpus.
Proceedings ArticleDOI

Accurate Unlexicalized Parsing

TL;DR: It is demonstrated that an unlexicalized PCFG can parse much more accurately than previously shown, by making use of simple, linguistically motivated state splits, which break down false independence assumptions latent in a vanilla treebank grammar.
Proceedings Article

Generating Typed Dependency Parses from Phrase Structure Parses

TL;DR: A system for extracting typed dependency parses of English sentences from phrase structure parses that captures inherent relations occurring in corpus texts that can be critical in real-world applications is described.
Proceedings ArticleDOI

CoNLL-X Shared Task on Multilingual Dependency Parsing

TL;DR: How treebanks for 13 languages were converted into the same dependency format and how parsing performance was measured is described and general conclusions about multi-lingual parsing are drawn.
Proceedings ArticleDOI

The Stanford Typed Dependencies Representation

TL;DR: This paper examines the Stanford typed dependencies representation, which was designed to provide a straightforward description of grammatical relations for any user who could benefit from automatic text understanding, and considers the underlying design principles of the Stanford scheme.
Related Papers (5)