no code implementations • COLING (MWE) 2020 • Jen-Yu Li, Thomas Gaillat
It focuses on the extraction of unexpected collocations.
no code implementations • EACL (BEA) 2021 • Thomas Gaillat, Anas Knefati, Antoine Lafontaine
We present the design of a tool for the visualisation of linguistic complexity in second language (L2) learner writings.
no code implementations • JEPTALNRECITAL 2020 • Thomas Gaillat, Nicolas Ballier, Ann Sousa, a, Manon Bouy{\'e}, Andrew Simpkin, Bernardo Stearns, Manel Zarrouk
Cet article d{\'e}crit un prototype ax{\'e} sur la pr{\'e}diction du niveau de comp{\'e}tence des apprenants de l{'}anglais.
no code implementations • LREC 2020 • Ann Sousa, a, Nicolas Ballier, Thomas Gaillat, Bernardo Stearns, Manel Zarrouk, Andrew Simpkin, Manon Bouy{\'e}
This paper describes the workflow and architecture adopted by a linguistic research project.
no code implementations • WS 2018 • Thomas Gaillat, Bernardo Stearns, Gopal Sridhar, Ross McDermott, Manel Zarrouk, Brian Davis
This paper focuses on aspect extraction which is a sub-task of Aspect-based Sentiment Analysis.
no code implementations • 28 Jun 2018 • Taylor Arnold, Nicolas Ballier, Thomas Gaillat, Paula Lissòn
The purpose is to build a model for the prediction of learner levels as a function of language complexity features.
no code implementations • JEPTALNRECITAL 2018 • Thomas Gaillat, Ann Sousa, a, Manel Zarrouk, Brian Davis
FinSentiA: Sentiment Analysis in English Financial Microblogs The objective of this paper is to report on the building of a Sentiment Analysis (SA) system dedicated to financial microblogs in English.