2 papers
cs.IR2021
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…
cs.LG2018
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…