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The CoNLL 2007 Shared Task on Dependency Parsing
TLDR
The Conference on Computational Natural Language Learning features a shared task, in which participants train and test their learning systems on the same data sets. Expand
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MaltParser: A Language-Independent System for Data-Driven Dependency Parsing
TLDR
MaltParser is a language-independent system for data-driven dependency parsing that can be used to induce a parser for a new language from a treebank sample in a simple yet flexible manner. Expand
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The Tüba-D/Z Treebank: Annotating German with a Context-Free Backbone
TLDR
We describe the TüBa-D/Z treebank of written German and compare it to the independently developed TIGER treebank (Brants et al., 2002). Expand
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Stylebook for the Tubingen Treebank of Written German (TuBa-D/Z)
TLDR
This stylebook is an updated version of Telljohann et al. (2006). Expand
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Dependency Parsing
TLDR
Dependency-based methods for syntactic parsing have become increasingly popular in natural language processing in recent years. Expand
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SAMAR: Subjectivity and sentiment analysis for Arabic social media
TLDR
SAMAR is a system for subjectivity and sentiment analysis (SSA) for Arabic social media genres. 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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Is it Really that Difficult to Parse German?
TLDR
This paper presents a comparative study of probabilistic treebank parsing of German, using the Negra and TuBa-D/Z tree-banks. Expand
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