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Found 12 papers, 0 papers with code
Quantifying training challenges of dependency parsers
Not all dependencies are equal when training a dependency parser: some are straightforward enough to be learned with only a sample of data, others embed more complexity.
Exploiting Dynamic Oracles to Train Projective Dependency Parsers on Non-Projective Trees
Because the most common transition systems are projective, training a transition-based dependency parser often implies to either ignore or rewrite the non-projective training examples, which has an adverse impact on accuracy.
LIMSI@CoNLL'17: UD Shared Task
This paper describes LIMSI{'}s submission to the CoNLL 2017 UD Shared Task, which is focused on small treebanks, and how to improve low-resourced parsing only by ad hoc combination of multiple views and resources.
Don't Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers
This paper formalizes a sound extension of dynamic oracles to global training, in the frame of transition-based dependency parsers.
Zero-resource Dependency Parsing: Boosting Delexicalized Cross-lingual Transfer with Linguistic Knowledge
This paper studies cross-lingual transfer for dependency parsing, focusing on very low-resource settings where delexicalized transfer is the only fully automatic option.
Ne nous arr\^etons pas en si bon chemin : am\'eliorations de l'apprentissage global d'analyseurs en d\'ependances par transition (Don't Stop Me Now ! Improved Update Strategies for Global Training of Transition-Based)
Dans cet article, nous proposons trois am{\'e}liorations simples pour l{'}apprentissage global d{'}analyseurs en d{\'e}pendances par transition de type A RC E AGER : un oracle non d{\'e}terministe, la reprise sur le m{\^e}me exemple apr{\`e}s une mise {\`a} jour et l{'}entra{\^\i}nement en configurations sous-optimales.
Apprentissage d'analyseur en d\'ependances cross-lingue par projection partielle de d\'ependances (Cross-lingual learning of dependency parsers from partially projected dependencies )
Cet article pr{\'e}sente une m{\'e}thode simple de transfert cross-lingue de d{\'e}pendances.
Cross-lingual and Supervised Models for Morphosyntactic Annotation: a Comparison on Romanian
Because of the small size of Romanian corpora, the performance of a PoS tagger or a dependency parser trained with the standard supervised methods fall far short from the performance achieved in most languages.
