ERNIE: Enhanced Representation through Knowledge Integration
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Abstract
We present a novel language representation model enhanced by knowledge called ERNIE (Enhanced Representation through kNowledge IntEgration). Inspired by the masking strategy of BERT, ERNIE is designed to learn language representation enhanced by knowledge masking strategies, which includes entity-level masking and phrase-level masking. Entity-level strategy masks entities which are usually composed of multiple words.Phrase-level strategy masks the whole phrase which is composed of several words standing together as a conceptual unit.Experimental results show that ERNIE outperforms other baseline methods, achieving new state-of-the-art results on five Chinese natural language processing tasks including natural…
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Topics
Keywords
- Phrase
- Computer science
- Natural language processing
- Masking (illustration)
- Representation (politics)
- Artificial intelligence
- Inference
- Knowledge representation and reasoning
UN Sustainable Development Goals
- Quality Education
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