2022
Multilingual and Multimodal Topic Modelling with Pretrained Embeddings
COLING 2022main
This paper presents M3L-Contrast—a novel multimodal multilingual (M3L) neural topic model for comparable data that maps texts from multiple languages and images into a shared topic space. Our model is trained jointly on texts and images and takes advantage of pretrained document and image embeddings…