Linguistically-driven Selection of Difficult-to-Parse Dependency Structures :: SCD d'Orléans

Linguistically-driven Selection of Difficult-to-Parse Dependency Structures

Linguistically-driven Selection of Difficult-to-Parse Dependency Structures

The paper illustrates a novel methodology meeting a twofold goal, namely quantifying the reliability of automatically generated dependency relations without using gold data on the one hand, and identifying which are the linguistic constructions negatively affecting the parser performance on the othe...

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書誌詳細
出版年:	URI:https://journals.openedition.org/ijcol,
主要な著者:	Alzetta, Chiara, Dell’Orletta, Felice, Montemagni, Simonetta, Venturi, Giulia
フォーマット:	Article ou chapitre numérique
言語:	Anglais
出版事項:	IJCoL 2021
オンライン･アクセス:	Accès Université d'Orléans et IFPM Accès Université d'Orléans et IFPM

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