Bernardo Stearns

According to our database, Bernardo Stearns authored at least 8 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Proceedings of the 4th Conference on Language, Data and Knowledge, 2023

The Cardamom Workbench for Historical and Under-Resourced Languages.

Adrian Doyle, Theodorus Fransen, Bernardo Stearns, John P. McCrae, Oksana Dereza, Priya Rani

Proceedings of the 4th Conference on Language, Data and Knowledge, 2023

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

Proceedings of the 18th Workshop on Innovative Use of NLP for Building Educational Applications, 2023

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

Proceedings of the Actes de la 6e conférence conjointe Journées d'Études sur la Parole (JEP, 2020

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

Proceedings of the 1st International Workshop on Language Technology Platforms, 2020

2019

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

Proceedings of the Transforming Learning with Meaningful Technologies, 2019

2018

Implicit and Explicit Aspect Extraction in Financial Microblogs.

Thomas Gaillat, Bernardo Stearns, Gopal Sridhar, Ross McDermott, Manel Zarrouk, Brian Davis

Proceedings of the First Workshop on Economics and Natural Language Processing, 2018

2017

Scholar Performance Prediction using Boosted Regression Trees Techniques.

Bernardo Stearns, Fábio Medeiros Rangel, Flavio Rangel, Fabrício Firmino de Faria, Jonice Oliveira

Proceedings of the 25th European Symposium on Artificial Neural Networks, 2017