This paper describes the CompNa model that has been submitted to the Lexical Complexity Prediction (LCP) shared task hosted at SemEval 2021.
A bibliographic network can be studied using the framework of Heterogeneous Information Networks (HINs). In this paper, we comparatively evaluate two different ...
This paper describes the CompNa model that has been submitted to the Lexical Complexity Prediction (LCP) shared task hosted at SemEval 2021 (Task 1).
Giuseppe Vettigli, Antonio Sorgente: CompNA at SemEval-2021 Task 1: Prediction of lexical complexity analyzing heterogeneous features.
This paper describes the CompNa model that has been submitted to the Lexical Complexity Prediction (LCP) shared task hosted at SemEval 2021 (Task 1).
2021/06/01 · Abstract:This paper presents the results and main findings of SemEval-2021 Task 1 - Lexical Complexity Prediction.
含まれない: CompNA analyzing heterogeneous
In this article, we present an overview of computational approaches to lexical complexity prediction focusing on the work carried out on English data.
We propose an ensemble model for predictingthe lexical complexity of words and multiwordexpressions (MWEs). The model receives asinput a sentence with a target ...
This paper describes the CompNa model that has been submitted to the Lexical Complexity Prediction (LCP) shared task hosted at SemEval 2021 (Task 1). The ...
This paper describes the CompNa model that has been submitted to the Lexical Complexity Prediction (LCP) shared task hosted at SemEval 2021 (Task 1). Lexical ...