2M-NER: Contrastive Learning for Multilingual and Multimodal NER with Language and Modal Fusion

arXiv:2404.17122v1 Announce Type: new
Abstract: Named entity recognition (NER) is a fundamental task in natural language processing that involves identifying and classifying entities in sentences into pre-defined types. It plays a crucial role in various research fields, including entity linking, question answering, and online product recommendation. Recent studies have shown that incorporating multilingual and multimodal datasets can enhance the effectiveness of NER. This is due to language transfer learning and the presence of shared implicit features across different modalities. However, …

abstract arxiv cs.ai cs.cl fields fundamental fusion language language processing modal multilingual multimodal natural natural language natural language processing ner processing product product recommendation question question answering recognition recommendation research role type types