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Universal Dependencies v1: A Multilingual Treebank Collection
TLDR
We present version 1 of the universal guidelines, the underlying design principles, and the currently available treebanks for 33 languages. Expand
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Overview of the SPMRL 2013 Shared Task: A Cross-Framework Evaluation of Parsing Morphologically Rich Languages
TLDR
This paper reports on the first shared task on statistical parsing of morphologically rich languages (MRLs). Expand
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Statistical Parsing of Morphologically Rich Languages (SPMRL) What, How and Whither
TLDR
We synthesize the contributions of researchers working on parsing Arabic, Basque, French, German, Hebrew, Hindi and Korean to point out shared solutions across languages. Expand
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Introducing the SPMRL 2014 Shared Task on Parsing Morphologically-rich Languages
TLDR
This first joint meeting on Statistical Parsing of Morphologically Rich Languages and Syntactic Analysis of Non-Canonical English featured a shared task on statistical parsing of morphologically rich languages (SPMRL). Expand
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A Unified Morpho-Syntactic Scheme of Stanford Dependencies
TLDR
We present a novel extension of Stanford Dependencies, called Unified-SD (U-SD), which unifies the annotation of structurally and morphologically marked relations and under-represents morphosyntactic realization patterns observed in Morphologically Rich Languages. Expand
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Universal Dependencies 2.1
TLDR
Universal Dependencies is a project that seeks to develop cross-linguistically consistent treebank annotation for many languages, with the goal of facilitating multilingual parser development, cross-language learning, and parsing research from a language typology perspective. Expand
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Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
TLDR
This release complements the UD 2.0 release (http://hdl.handle.net/11234/1-1983) to a full release of UD treebanks. Expand
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Parsing Morphologically Rich Languages: Introduction to the Special Issue
TLDR
This special issue reports on methods that successfully address the challenges involved in parsing a range of morphologically rich languages (MRLs). Expand
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Relational-Realizational Parsing
TLDR
We develop the Relational-Realizational approach to parsing in which we untangle the projection of grammatical functions and their means of realization to allow for phrase-structure variability and morphological-syntactic interaction. Expand
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Evaluating Dependency Parsing: Robust and Heuristics-Free Cross-Annotation Evaluation
TLDR
This paper develops a robust procedure for cross-experimental evaluation, based on deterministic unification-based operations for harmonizing different representations and a refined notion of tree edit distance for evaluating parse hypotheses relative to multiple gold standards. Expand
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