2 citations · 3 across the 5 of their papers we have counts for
5 papers
SPICED: News Similarity Detection Dataset with Multiple Topics and Complexity Levels
Elena Shushkevich, Long Mai, Manuel V. Loureiro +2
The proliferation of news media outlets has increased the demand for intelligent systems capable of detecting redundant information in news articles in order to enhance user experi…
STA: Self-controlled Text Augmentation for Improving Text Classifications
Congcong Wang, Gonzalo Fiz Pontiveros, Steven Derby +1
Despite recent advancements in Machine Learning, many tasks still involve working in low-data regimes which can make solving natural language problems difficult. Recently, a number…
Topics as Entity Clusters: Entity-based Topics from Large Language Models and Graph Neural Networks
Manuel V. Loureiro, Steven Derby, Tri Kurniawan Wijaya
Topic models aim to reveal latent structures within a corpus of text, typically through the use of term-frequency statistics over bag-of-words representations from documents. In re…
Multilingual News Location Detection using an Entity-Based Siamese Network with Semi-Supervised Contrastive Learning and Knowledge Base
Víctor Suárez-Paniagua, Steven Derby, Tri Kurniawan Wijaya
Early detection of relevant locations in a piece of news is especially important in extreme events such as environmental disasters, war conflicts, disease outbreaks, or political t…
Quantitative Metrics for Evaluating Explanations of Video DeepFake Detectors
Federico Baldassarre, Quentin Debard, Gonzalo Fiz Pontiveros +1
The proliferation of DeepFake technology is a rising challenge in today's society, owing to more powerful and accessible generation methods. To counter this, the research community…