Zhou Botong

Cross-Lingual Contrastive Learning for Fine-Grained Entity Typing for Low-Resource Languages

Fine-grained entity typing (FGET) aims to classify named entity mentions into fine-grained entity types, which is meaningful for entity-related NLP tasks. For FGET, a key challenge is the low-resource problem — the complex entity type hierarchy makes it difficult to manually label data. Especially f…