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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...

詳細記述

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書誌詳細
主要な著者: Chiara Alzetta, Felice Dell’Orletta, Simonetta Montemagni, Giulia Venturi
フォーマット: Artigo
言語:Inglês
出版事項: Accademia University Press 2020-12-01
シリーズ:IJCoL
オンライン・アクセス:https://journals.openedition.org/ijcol/719
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