Scholar Performance Prediction using Boosted Regression Trees Techniques. - Bernardo Stearns; Fábio Medeiros Rangel; Flavio Rangel; Fabrício Firmino de Faria; Jonice Oliveira (ESANN, 2017)

Implicit and Explicit Aspect Extraction in Financial Microblogs. - Thomas Gaillat; Bernardo Stearns; Gopal Sridhar; Ross McDermott; Manel Zarrouk; Brian Davis 001 (ECONLP@ACL, 2018)

A Supervised Learning Model for the Automatic Assessment of Language Levels Based on Learner Errors. - Nicolas Ballier; Thomas Gaillat; Andrew J. Simpkin; Bernardo Stearns; Manon Bouyé; Manel Zarrouk (EC-TEL, 2019)

From Linguistic Research Projects to Language Technology Platforms: A Case Study in Learner Data. - Annanda Sousa; Nicolas Ballier; Thomas Gaillat; Bernardo Stearns; Manel Zarrouk; Andrew J. Simpkin; Manon Bouyé (IWLTP@LREC, 2020)

Un prototype en ligne pour la prédiction du niveau de compétence en anglais des productions écrites (A prototype for web-based prediction of English proficiency levels in writings). - Thomas Gaillat; Nicolas Ballier; Annanda Sousa; Manon Bouyé; Andrew J. Simpkin; Bernardo Stearns; Manel Zarrouk (JEP-TALN-RECITAL (Demos), 2020)

Exploring a New Grammatico-functional Type of Measure as Part of a Language Learning Expert System. - Cyriel Mallart; Andrew J. Simpkin; Rémi Venant; Nicolas Ballier; Bernardo Stearns; Jen-Yu Li; Thomas Gaillat (BEA@ACL, 2023)

The Cardamom Workbench for Historical and Under-Resourced Languages. - Adrian Doyle; Theodorus Fransen; Bernardo Stearns; John P. McCrae; Oksana Dereza; Priya Rani (LDK, 2023)

A new learner language data set for the study of English for Specific Purposes at university. - Cyriel Mallart; Nicolas Ballier; Jen-Yu Li; Andrew J. Simpkin; Bernardo Stearns; Rémi Venant; Thomas Gaillat (LDK, 2023)

Assessing the validity of new paradigmatic complexity measures as criterial features for proficiency in L2 writings in English. - Cyriel Mallart; Andrew J. Simpkin; Nicolas Ballier; Paula Lissón; Rémi Venant; Jen-Yu Li; Bernardo Stearns; Thomas Gaillat (CoRR, 2025)