Current Position(s)

• PhD Candidate & Invited Assistent at Faculty of Engineering - University of Porto

Education

September 2015 - July 2020: Master of Science in Informatics and Computing Engineering

• School: Faculty of Engineering - University of Porto
• Course: Integrated Master in Informatics and Computer Engineering
• Master Thesis: Automatic Question Generation for the Portuguese Language

Idioms

• Portuguese (native language)
• English (proficient)

Professional Activity

• September 2023 - Current: Invited Assistent at Faculty of Engineering - University of Porto
• 1st Semester: Algorithms and Data Structures
• 2nd Semester: Algorithm Design
• October 2021 - Current: PhD Student at Faculty of Engineering - University of Porto
• Research Scope: Natural Language Processing (Question Generation)
• Research Grant Institution: FCT
• February 2021 - September 2021: Research Assistant at LIACC
• Research Scope: Argumentation Mining
• Project: DARGMINTS
• May 2018 - August 2020: STEAM Educator at Happy Code Portugal
Courses Taught:
• Unity - 2D and 3D Game Creating with C#
• Fusion - Creating 2D Games
• Minecraft Modding - Coding Games with Java
• Apps - Creating Apps with MIT App Inventor
• Youtuber - Planning, filming and editing

Achievements:

• Personal fulfllment by entering the world of pedagogy - STEAM Education
• Motivated Children’s Critical Thinking

Volunteering

• July 3-7, 2023: Organizing volunteer at the 24th International Conference on Artifical Intelligence in Education (AIED) in Tokyo, Japan
• July 2019 - May 2023: Organizer and Mentor of CoderDojo Valongo

Achievements:

• Participating and Winning the contest: Orçamento Participativo Jovem 2019 (Valongo)
• Promoting the exercise of citizenship with involvement, participation and learning
• Planning and Coordinating an educational project for younger citizens

Service

• July 15, 2024: Invited Speaker at DeepLearn 2024 in Maia - Porto, Portugal ("Empowering Research with LLMs: Case Studies and Insights")
• July 11, 2023: Representative on behalf of the FEUP's Artificial Intelligence Laboratory at the DEI Open Day
• June 1-2, 2022: Assistant organizer of the LITHME Roadshow in Porto, Portugal
• Conference/Journal Reviewer:
• Conference(s): EMNLP 23/24, ECAI 23, SAC 22/23, ISMIS 22, WI-IAT 21
• Journal(s): JECR 21/22

• Bernardo Leite, Tomás Freitas Osório, Henrique Lopes Cardoso. FairytaleQA Translated: Enabling Educational Question and Answer Generation in Less-Resourced Languages. ECTEL, 2024.

slides | code, data and models

• Bernardo Leite, Henrique Lopes Cardoso. On Few-Shot Prompting for Controllable Question-Answer Generation in Narrative Comprehension. CSEDU, 2024.

slides | code

• Rodrigo Santos, João Rodrigues, Luís Gomes, João Silva, António Branco, Henrique Lopes Cardoso, Tomás Freitas Osório, Bernardo Leite. Fostering the Ecosystem of Open Neural Encoders for Portuguese with Albertina PT* Family. SIGUL @ LREC-COLING, 2024.

slides | data | models

• Tomás Osório, Bernardo Leite, Henrique Lopes Cardoso, Luís Gomes, João Rodrigues, Rodrigo Santos, António Branco. PORTULAN ExtraGLUE Datasets and Models: Kick-starting a Benchmark for the Neural Processing of Portuguese. BUCC @ LREC-COLING, 2024.

slides | data | models

• Bernardo Leite, Henrique Lopes Cardoso. Towards Enriched Controllability for Educational Question Generation. AIED, 2023.

slides | code

• Bernardo Leite, Henrique Lopes Cardoso. Do Rules Still Rule? Comprehensive Evaluation of a Rule-Based Question Generation System. CSEDU, 2023.

slides | code

• Bernardo Leite, Henrique Lopes Cardoso. Neural Question Generation for the Portuguese Language: A Preliminary Study. EPIA, 2022.

slides | code

• (best paper award!) Gil Rocha, Bernardo Leite, Luís Trigo, Henrique Lopes Cardoso, Rui Sousa-Silva, Paula Carvalho, Bruno Martins, Miguel Won. Predicting Argument Density from Multiple Annotations. NLDB, 2022.

slides | code

• Afonso Sousa, Bernardo Leite, Gil Rocha, Henrique Lopes Cardoso. Cross-Lingual Annotation Projection for Argument Mining in Portuguese. EPIA, 2021.

slides | code

• Bernardo Leite, Henrique Lopes Cardoso, Luís Paulo Reis, Carlos Soares. Factual Question Generation for the Portuguese Language. INISTA, 2020.

slides

• Pedro Azevedo, Bernardo Leite, Henrique Lopes Cardoso, Daniel Castro Silva, Luís Paulo Reis. Exploring NLP and Information Extraction to Jointly Address Question Generation and Answering. AIAI, 2020.

slides | code

• ...full publication list...