Search Results for author: Diego Moll{\'a}

Found 11 papers, 0 papers with code

Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data

no code implementations WS 2018 M Kaur, eep, Diego Moll{\'a}

The automation of text summarisation of biomedical publications is a pressing need due to the plethora of information available online.

BIG-bench Machine Learning Classification +2

Macquarie University at BioASQ 5b -- Query-based Summarisation Techniques for Selecting the Ideal Answers

no code implementations WS 2017 Diego Moll{\'a}

Macquarie University{'}s contribution to the BioASQ challenge (Task 5b Phase B) focused on the use of query-based extractive summarisation techniques for the generation of the ideal answers.

Question Answering regression

Semi-supervised Clustering of Medical Text

no code implementations WS 2016 Pracheta Sahoo, Asif Ekbal, Sriparna Saha, Diego Moll{\'a}, N, Kaushik an

Semi-supervised clustering is an attractive alternative for traditional (unsupervised) clustering in targeted applications.

Clustering

Cannot find the paper you are looking for? You can Submit a new open access paper.