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8 avril 2019
- doi: 10.4000/books.aaccademia.3028
- eisbn: 9788831978682
https://www.openedition.org/12554 , info:eu-repo/semantics/openAccess
Mots-clés
linguistica computazionale elaborazione del linguaggio naturale analisi semantica Gurevych (Iryna) Bos (Johan) Computational Linguistics Natural Language Processing semantic parsing Gurevych (Iryna) Bos (Johan) History & Philosophy Of Science LAN000000 CBXSujets proches
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Chiara Alzetta et al., « PRET: Prerequisite-Enriched Terminology. A Case Study on Educational Texts », Accademia University Press, ID : 10.4000/books.aaccademia.3028
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Résumé
In this paper we present PRET, a gold dataset annotated for prerequisite relations between educational concepts extracted from a computer science textbook, and we describe the language and domain independent approach for the creation of the resource. Additionally, we have created an annotation tool to support, validate and analyze the annotation.