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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.IR2013
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…