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Found 8 papers, 2 papers with code
Predicting Knowledge Gain for MOOC Video Consumption
Informal learning on the Web using search engines as well as more structured learning on MOOC platforms have become very popular in recent years.
MM-Claims: A Dataset for Multimodal Claim Detection in Social Media
In recent years, the problem of misinformation on the web has become widespread across languages, countries, and various social media platforms.
SaL-Lightning Dataset: Search and Eye Gaze Behavior, Resource Interactions and Knowledge Gain during Web Search
The emerging research field Search as Learning investigates how the Web facilitates learning through modern information retrieval systems.
Predicting Knowledge Gain during Web Search based on Multimedia Resource Consumption
Related work in this field, also called search as learning, has focused on behavioral or text resource features to predict learning outcome and knowledge gain.
Visual Summarization of Scholarly Videos using Word Embeddings and Keyphrase Extraction
Effective learning with audiovisual content depends on many factors.
Understanding, Categorizing and Predicting Semantic Image-Text Relations
Two modalities are often used to convey information in a complementary and beneficial manner, e. g., in online news, videos, educational resources, or scientific publications.
"Is this an example image?" -- Predicting the Relative Abstractness Level of Image and Text
In this paper, we present an approach to predict the (cross-modal) relative abstractness level of a given image-text pair, that is whether the image is an abstraction of the text or vice versa.
Recommending Scientific Videos based on Metadata Enrichment using Linked Open Data
The amount of available videos in the Web has significantly increased not only for entertainment etc., but also to convey educational or scientific information in an effective way.
Optical Character Recognition
Optical Character Recognition (OCR)
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