Introducing the SPMRL 2014 Shared Task on Parsing Morphologically-rich Languages

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Findings of the 2016 Conference on Machine Translation (2016, methodology): “, 2013), trained on the Penn Treebank (for English) and on the version of the German TIGER corpus used in the SPMRL shared task (Seddah et al., 2014) for German.”
Unbabel’s Participation in the WMT16 Word-Level Translation Quality Estimation Shared Task (2016, methodology): “…resources were used: part-of-speech tags and extra syntactic dependency information were obtained with Turbo-Tagger and TurboParser (Martins et al., 2013), 1 trained on the Penn Treebank (for English) and on the version of the German TIGER corpus used in the SPMRL shared task (Seddah et al., 2014).”
A Minimal Span-Based Neural Constituency Parser (2017, methodology): “We use the French Treebank from the SPMRL 2014 shared task (Seddah et al., 2014) with its provided splits for our French experiments.”
Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction (2019, methodology): “The Mate Parser (Bohnet and Nivre, 2012), retrained on SPMRL 2014 data (Seddah et al., 2014) (dependency trees), and the Lefff (Sagot, 2010), a morphological and syntactic lexicon (used for information on noun gender and impersonal adjectives and verbs), are both used for French.”