Published June 25, 2020 | Version 1.1
Dataset Open

Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval (Evaluation datasets)

  • 1. University of Padua

Description

This dataset contains all the runs, pools, plots and analyses to reproduce the results presented in the paper: "Learning Unsupervised Knowledge-Enhanced Representations to Reduce the Semantic Gap in Information Retrieval ", 2020.

Files

matlab_runs_measures.zip

Files (67.3 MB)

Name Size Download all
md5:bdfca3dac4d912e0dfa565b5598ff556
34.6 MB Preview Download
md5:e53a59034010194321460d90a0bb46b6
143.5 kB Preview Download
md5:3e64299766614b98c53a41b4e10cac93
32.1 MB Preview Download
md5:a287a9269522f16bee34b1dc8a9d7efa
549.7 kB Preview Download

Additional details

Funding

EXA MODE – EXtreme-scale Analytics via Multimodal Ontology Discovery & Enhancement 825292
European Commission