no code implementations • WS 2019 • Agathe Pierson, C{\'e}drick Fairon
This paper details the development of a linguistic resource designed to improve temporal information extraction systems and to integrate aspectual values.
no code implementations • COLING 2018 • Leonardo Zilio, Rodrigo Wilkens, C{\'e}drick Fairon
We also attempted to automatically attribute a score to texts produced by learners, and the correlation results were encouraging, but there is still a good amount of room for improvement in this task.
no code implementations • WS 2018 • Ana{\"\i}s Tack, Thomas Fran{\c{c}}ois, Piet Desmet, C{\'e}drick Fairon
In this paper, we introduce NT2Lex, a novel lexical resource for Dutch as a foreign language (NT2) which includes frequency distributions of 17, 743 words and expressions attested in expert-written textbook texts and readers graded along the scale of the Common European Framework of Reference (CEFR).
no code implementations • WS 2017 • Ana{\"\i}s Tack, Thomas Fran{\c{c}}ois, Sophie Roekhaut, C{\'e}drick Fairon
This paper is concerned with the task of automatically assessing the written proficiency level of non-native (L2) learners of English.
no code implementations • RANLP 2017 • Leonardo Zilio, Rodrigo Wilkens, C{\'e}drick Fairon
This study presents SMILLE, a system that draws on the Noticing Hypothesis and on input enhancements, addressing the lack of salience of grammatical infor mation in online documents chosen by a given user.
no code implementations • JEPTALNRECITAL 2016 • Ana{\"\i}s Tack, Thomas Fran{\c{c}}ois, Anne-Laure Ligozat, C{\'e}drick Fairon
Cette {\'e}tude examine l{'}utilisation de m{\'e}thodes d{'}apprentissage incr{\'e}mental supervis{\'e} afin de pr{\'e}dire la comp{\'e}tence lexicale d{'}apprenants de fran{\c{c}}ais langue {\'e}trang{\`e}re (FLE).
no code implementations • SEMEVAL 2016 • Alex Panchenko, er, Stefano Faralli, Eugen Ruppert, Steffen Remus, Hubert Naets, C{\'e}drick Fairon, Simone Paolo Ponzetto, Chris Biemann
no code implementations • LREC 2016 • Ana{\"\i}s Tack, Thomas Fran{\c{c}}ois, Anne-Laure Ligozat, C{\'e}drick Fairon
This study examines two possibilities of using the FLELex graded lexicon for the automated assessment of text complexity in French as a foreign language learning.
no code implementations • LREC 2014 • Thomas Fran{\c{c}}ois, N{\`u}ria Gala, Patrick Watrin, C{\'e}drick Fairon
In this paper we present FLELex, the first graded lexicon for French as a foreign language (FFL) that reports word frequencies by difficulty level (according to the CEFR scale).