Search Results for author: Bruno Martins

Found 13 papers, 2 papers with code

Retrieval Augmentation for Deep Neural Networks

1 code implementation25 Feb 2021 Rita Parada Ramos, Patrícia Pereira, Helena Moniz, Joao Paulo Carvalho, Bruno Martins

Despite the use of large training datasets, most models are trained by iterating over single input-output pairs, discarding the remaining examples for the current prediction.

Image Captioning Sentiment Analysis

Assessing the Benefits of Model Ensembles in Neural Re-Ranking for Passage Retrieval

no code implementations21 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.

Learning-To-Rank Passage Retrieval +1

Combining Similarity Features and Deep Representation Learning for Stance Detection in the Context of Checking Fake News

2 code implementations2 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.

Document Classification General Classification +3

Using Rank Aggregation for Expert Search in Academic Digital Libraries

no code implementations21 Jan 2015 Catarina Moreira, Bruno Martins, Pável Calado

The task of expert finding has been getting increasing attention in information retrieval literature.

Information Retrieval

Learning to Rank Academic Experts in the DBLP Dataset

no code implementations21 Jan 2015 Catarina Moreira, Bruno Martins, Pável Calado

More specifically, this article explores the use of supervised learning to rank methods, as well as rank aggregation approaches, for combing all of the estimators of expertise.

Information Retrieval Learning-To-Rank

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