activity
20212026
most citedZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling

25 citations · 32 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Beyond Multilingual Averages: MTEB-PT, a Benchmark for Portuguese Sentence Encoders

Lucas Hideki Takeuchi Okamura, Alexandre Alcoforado, Anna Helena Reali Costa

Portuguese remains underrepresented in text embedding evaluation, despite being one of the most widely spoken languages in the world. As a result, embedding models are often select…

cs.CL2024★ 4 cited

No Argument Left Behind: Overlapping Chunks for Faster Processing of Arbitrarily Long Legal Texts

Israel Fama, Bárbara Bueno, Alexandre Alcoforado +3

In a context where the Brazilian judiciary system, the largest in the world, faces a crisis due to the slow processing of millions of cases, it becomes imperative to develop effici…

cs.CL2024

From Random to Informed Data Selection: A Diversity-Based Approach to Optimize Human Annotation and Few-Shot Learning

Alexandre Alcoforado, Thomas Palmeira Ferraz, Lucas Hideki Okamura +5

A major challenge in Natural Language Processing is obtaining annotated data for supervised learning. An option is the use of crowdsourcing platforms for data annotation. However,…

cs.CL2022★ 25 cited

ZeroBERTo: Leveraging Zero-Shot Text Classification by Topic Modeling

Alexandre Alcoforado, Thomas Palmeira Ferraz, Rodrigo Gerber +5

Traditional text classification approaches often require a good amount of labeled data, which is difficult to obtain, especially in restricted domains or less widespread languages.…

cs.AI2021★ 3 cited

DEBACER: a method for slicing moderated debates

Thomas Palmeira Ferraz, Alexandre Alcoforado, Enzo Bustos +6

Subjects change frequently in moderated debates with several participants, such as in parliamentary sessions, electoral debates, and trials. Partitioning a debate into blocks with…