Published October 2, 2018 | Version v1

Cross-modal (text and figures) Analysis of a Scientific Corpus from Semantic Scholar - images

  • 1. Expert System

Description

In this notebook we show the application of cross-modal techniques to improve the categorization of scientific papers through content related to figures, using both the textual part (captions) and the visual part (figures, diagrams, images) jointly. To this purpose, we use several CNN models and execute some experiments, illustrating our approach. This deposit contains high quality versions of the images used in the analysis.

Files

5class.zip

Files (1.2 GB)

Name Size
md5:54bfe3d1ad3ba1b545d527b531a0eb0b
1.2 GB Preview Download
md5:ccf17465bcd0c49c45a0f7430ffccc51
17.0 kB Preview Download
md5:9e9f81cfca40dcaa03099f1048f98afd
17.6 kB Preview Download
md5:6e67837f58d8fe756a7e0480cf8639d7
21.9 kB Preview Download
md5:dbd625b4669afdb5db3122ece95815bb
20.7 kB Preview Download
md5:4c21234f5a1c0f46d73c8bf67d2b1499
19.1 kB Preview Download
md5:360f25a4efd4bd6a318f1b7ab907f853
142.3 kB Preview Download
md5:0b682b43bb46604d413714793d6f7b96
15.6 kB Preview Download
md5:f57fc9348f86dc0786a1e46cfbd06abf
56.3 kB Preview Download
md5:d5e4704700305134397b5f314e934664
14.8 kB Preview Download
md5:a9673a3aa42b9f0980c8e06f8d17370f
7.7 kB Preview Download
md5:7eb6fb939dc50913b74abf36672917fd
697 Bytes Preview Download
md5:0bd6f1a3171f4ca02562550f9e13fede
43.8 kB Preview Download
md5:e946a2e550fdcb99d614cecfba5f5819
80.9 kB Preview Download
md5:e3ee84d5f4dc5457b2e5fd1db43f93c4
12.2 kB Preview Download

Additional details

Funding

European Commission
EVER-EST - European Virtual Environment for Research - Earth Science Themes 674907