1 citations · 1 across the 4 of their papers we have counts for
6 papers
Retrieval Augmentation for Deep Neural Networks
Rita Parada Ramos, Patrícia Pereira, Helena Moniz +2
Deep neural networks have achieved state-of-the-art results in various vision and/or language tasks. Despite the use of large training datasets, most models are trained by iteratin…
Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval
Luís Borges, Bruno Martins, Jamie Callan
Our work aimed at experimentally assessing the benefits of model ensembling within the context of neural methods for passage reranking. Starting from relatively standard neural mod…
IDEAIS: Smart Voice Assistants to Improve Interaction with SDIs
Miguel Ángel Bernabé, Jacinto Estima, María Ester González +6
A critical goal, is that organizations and citizens can easily access the geographic information required for good governance. However, despite the costly efforts of governments to…
Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News
Luís Borges, Bruno Martins, Pável Calado
Fake news are nowadays an issue of pressing concern, given their recent rise as a potential threat to high-quality journalism and well-informed public discourse. The Fake News Chal…
Towards the Rapid Development of a Natural Language Understanding Module
Catarina Moreira, Ana Cristina Mendes, Luísa Coheur +1
When developing a conversational agent, there is often an urgent need to have a prototype available in order to test the application with real users. A Wizard of Oz is a possibilit…
Learning to Rank for Expert Search in Digital Libraries of Academic Publications
Catarina Moreira, Pável Calado, Bruno Martins
The task of expert finding has been getting increasing attention in information retrieval literature. However, the current state-of-the-art is still lacking in principled approache…