136 citations · 188 across the 14 of their papers we have counts for
14 papers
The Temporal Game: A New Perspective on Temporal Relation Extraction
Hugo Sousa, Ricardo Campos, Alípio Jorge
In this paper we demo the Temporal Game, a novel approach to temporal relation extraction that casts the task as an interactive game. Instead of directly annotating interval-level…
FRaN-X: FRaming and Narratives-eXplorer
Artur Muratov, Hana Fatima Shaikh, Vanshikaa Jani +21
We present FRaN-X, a Framing and Narratives Explorer that automatically detects entity mentions and classifies their narrative roles directly from raw text. FRaN-X comprises a two-…
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…
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…
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…
TEI2GO: A Multilingual Approach for Fast Temporal Expression Identification
Hugo Sousa, Ricardo Campos, Alípio Jorge
Temporal expression identification is crucial for understanding texts written in natural language. Although highly effective systems such as HeidelTime exist, their limited runtime…
Indexing Portuguese NLP Resources with PT-Pump-Up
Rúben Almeida, Ricardo Campos, Alípio Jorge +1
The recent advances in natural language processing (NLP) are linked to training processes that require vast amounts of corpora. Access to this data is commonly not a trivial proces…
Physio: An LLM-Based Physiotherapy Advisor
Rúben Almeida, Hugo Sousa, Luís F. Cunha +3
The capabilities of the most recent language models have increased the interest in integrating them into real-world applications. However, the fact that these models generate plaus…
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…
A Biomedical Entity Extraction Pipeline for Oncology Health Records in Portuguese
Hugo Sousa, Arian Pasquali, Alípio Jorge +2
Textual health records of cancer patients are usually protracted and highly unstructured, making it very time-consuming for health professionals to get a complete overview of the p…
tieval: An Evaluation Framework for Temporal Information Extraction Systems
Hugo Sousa, Alípio Jorge, Ricardo Campos
Temporal information extraction (TIE) has attracted a great deal of interest over the last two decades, leading to the development of a significant number of datasets. Despite its…
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…
Proceedings of the 4th Workshop on Online Recommender Systems and User Modeling -- ORSUM 2021
João Vinagre, Alípio Mário Jorge, Marie Al-Ghossein +1
Modern online services continuously generate data at very fast rates. This continuous flow of data encompasses content - e.g., posts, news, products, comments -, but also user feed…
LMMS Reloaded: Transformer-based Sense Embeddings for Disambiguation and Beyond
Daniel Loureiro, Alípio Mário Jorge, Jose Camacho-Collados
Distributional semantics based on neural approaches is a cornerstone of Natural Language Processing, with surprising connections to human meaning representation as well. Recent Tra…