no code implementations • 21 Jan 2021 • 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.
3 code implementations • 2 Nov 2018 • Luís Borges, Bruno Martins, Pável Calado
Specifically, we use bi-directional Recurrent Neural Networks, together with max-pooling over the temporal/sequential dimension and neural attention, for representing (i) the headline, (ii) the first two sentences of the news article, and (iii) the entire news article.
Ranked #4 on Fake News Detection on FNC-1