In this paper we present an NLP-based approach for tracking the evolution of written language competence in L2 Spanish learners using a wide range of linguistic features automatically extracted from students’ written productions. Beyond reporting …
This paper presents a method for prerequisite learning classification between educational concepts. The proposed system was developed by adapting a classification algorithm designed for sequencing Learning Objects to the task of ordering concepts …
We present a new concept prerequisite learning method for Learning Object (LO) ordering that exploits only linguistic features extracted from textual educational resources. The method was tested in a cross- and in- domain scenario both for Italian …
Il contributo illustra le attività portate avanti dal Laboratorio ItaliaNLP Lab nel contesto dell’educazione, mostrando come strumenti di Trattamento Automatico della Lingua (TAL) per la profilazione linguistica del testo e l’accesso al contenuto …
The Codice Pelavicino Digitale Project aims to publish an online digital edition of the relevant manuscript of the XIII century. In this paper features of the edition and related issues are addressed. Secondly we explain motivations for choosing a …
Distributional Semantic Models (DSM) that represent words as vectors of weights over a high dimensional feature space have proved very effective in representing semantic or syntactic word similarity. For certain tasks however it is important to …