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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Bibliographic Details
Main Authors: Chiara Alzetta, Felice Dell’Orletta, Simonetta Montemagni, Giulia Venturi
Format: Article
Language:English
Published: Accademia University Press 2020-12-01
Series:IJCoL
Online Access:https://journals.openedition.org/ijcol/719
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