no code implementations • 24 Jul 2023 • Annanda Sousa, Karen Young, Mathieu d'Aquin, Manel Zarrouk, Jennifer Holloway
Our experience and methods described here, together with the dataset shared, aim to contribute to future research applications of affective computing in ASD, which has the potential to create systems to improve the lives of people with ASD.
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 • 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.
no code implementations • SEMEVAL 2017 • Keith Cortis, Andr{\'e} Freitas, Tobias Daudert, Manuela Huerlimann, Manel Zarrouk, H, Siegfried schuh, Brian Davis
This paper discusses the {``}Fine-Grained Sentiment Analysis on Financial Microblogs and News{''} task as part of SemEval-2017, specifically under the {``}Detecting sentiment, humour, and truth{''} theme.
no code implementations • JEPTALNRECITAL 2014 • Lionel Ramadier, Manel Zarrouk, Mathieu Lafourcade, Antoine Micheau
no code implementations • LREC 2014 • Manel Zarrouk, Mathieu Lafourcade
Improving lexical networkÂ’s quality is an important issue in the creation process of these language resources.