Qu Yincen

How Can Cross-lingual Knowledge Contribute Better to Fine-Grained Entity Typing?

Cross-lingual Entity Typing (CLET) aims at improving the quality of entity type prediction by transferring semantic knowledge learned from rich-resourced languages to low-resourced languages. In this paper, by utilizing multilingual transfer learning via the mixture-of-experts approach, our model dy…