Enrich cross-lingual entity links for online wikis via multi-modal semantic matching

The task of enriching cross-lingual links is to find articles in different languages but representing the same real-world object between multilingual Wikis. In this paper, we propose a novel Multi-Modal Semantic Matching approach, called MMSM, to enrich cross-lingual links for online Wikis. Specifically, MMSM jointly trains two novel end-to-end neural matching models, Entity Description Matching Model and Entity Image Matching Model, which can...