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Is supervised syntactic parsing beneficial for language understanding tasks? An empirical investigation
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The Extraordinary Failure of Complement Coercion Crowdsourcing ...
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Evaluating Models' Local Decision Boundaries via Contrast Sets ...
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pyBART: Evidence-based Syntactic Transformations for IE ...
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From SPMRL to NMRL: What Did We Learn (and Unlearn) in a Decade of Parsing Morphologically-Rich Languages (MRLs)? ...
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Joint Transition-Based Models for Morpho-Syntactic Parsing: Parsing Strategies for MRLs and a Case Study from Modern Hebrew
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In: Transactions of the Association for Computational Linguistics, Vol 7, Pp 33-48 (2019) (2019)
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CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing
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In: 11th Language Resources and Evaluation Conference ; https://hal.inria.fr/hal-01786125 ; 11th Language Resources and Evaluation Conference, May 2018, Miyazaki, Japan ; http://lrec2018.lrec-conf.org (2018)
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Universal Dependencies 2.2
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In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018)
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Universal Dependencies 2.1
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In: https://hal.inria.fr/hal-01682188 ; 2017 (2017)
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Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data
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