VizByWiki: Mining data visualizations from the web to enrich news articles

AY Lin, J Ford, E Adar, B Hecht - Proceedings of the 2018 World Wide …, 2018 - dl.acm.org
Data visualizations in news articles (eg, maps, line graphs, bar charts) greatly enrich the
content of news articles and result in well-established improvements to reader …

The_tower_of_babel. jpg: diversity of visual encyclopedic knowledge across Wikipedia language editions

S He, AY Lin, E Adar, B Hecht - … of the International AAAI Conference on …, 2018 - ojs.aaai.org
Across all Wikipedia language editions, millions of images augment text in critical ways. This
visual encyclopedic knowledge is an important form of wikiwork for editors, a critical part of …

Texttopicnet-self-supervised learning of visual features through embedding images on semantic text spaces

Y Patel, L Gomez, R Gomez, M Rusiñol… - arXiv preprint arXiv …, 2018 - arxiv.org
The immense success of deep learning based methods in computer vision heavily relies on
large scale training datasets. These richly annotated datasets help the network learn …

A faceted approach to reachability analysis of graph modelled collections

S Sabetghadam, M Lupu, R Bierig… - International journal of …, 2018 - Springer
Nowadays, there is a proliferation of available information sources from different modalities—
text, images, audio, video and more. Information objects are not isolated anymore. They are …