Learning Concept Taxonomies from Multi-modal Data
Learning Concept Taxonomies from Multi-modal Data
We study the problem of automatically building hypernym taxonomies from textual and visual data.Previous works in taxonomy induction generally ignore the increasingly prominent visual data, which encode important perceptual semantics.Instead, we propose a probabilistic model for taxonomy induction by jointly leveraging text and images.To avoid hand-crafted feature engineering, we design …