Discovering types for entity disambiguation

OpenAI Blog · 8 years ago

A neural network system automatically disambiguates entities by classifying words into approximately 100 automatically-discovered semantic types rather than relying on fixed ontologies. The system evaluates whether each word belongs to non-exclusive categories, allowing multiple type assignments per entity. This approach enables more flexible entity resolution without requiring manually-defined taxonomies or exclusive categorization constraints.