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20222025
most citedEvent Extraction for Portuguese: A QA-driven Approach using ACE-2005

136 citations · 144 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025

Enhancing Portuguese Variety Identification with Cross-Domain Approaches

Hugo Sousa, Rúben Almeida, Purificação Silvano +3

Recent advances in natural language processing have raised expectations for generative models to produce coherent text across diverse language varieties. In the particular case of…

cs.CL2025

Tradutor: Building a Variety Specific Translation Model

Hugo Sousa, Satya Almasian, Ricardo Campos +1

Language models have become foundational to many widely used systems. However, these seemingly advantageous models are double-edged swords. While they excel in tasks related to res…

cs.CL2024136 cited

Event Extraction for Portuguese: A QA-driven Approach using ACE-2005

Luís Filipe Cunha, Ricardo Campos, Alípio Jorge

Event extraction is an Information Retrieval task that commonly consists of identifying the central word for the event (trigger) and the event's arguments. This task has been exten…

cs.CL20238 cited

GPT Struct Me: Probing GPT Models on Narrative Entity Extraction

Hugo Sousa, Nuno Guimarães, Alípio Jorge +1

The importance of systems that can extract structured information from textual data becomes increasingly pronounced given the ever-increasing volume of text produced on a daily bas…

cs.CL2022

Probing Commonsense Knowledge in Pre-trained Language Models with Sense-level Precision and Expanded Vocabulary

Daniel Loureiro, Alípio Mário Jorge

Progress on commonsense reasoning is usually measured from performance improvements on Question Answering tasks designed to require commonsense knowledge. However, fine-tuning larg…