Discovering types for entity disambiguation

Researchers have developed an automated system that uses neural networks to disambiguate entities by classifying words into approximately 100 automatically-discovered non-exclusive categories or 'types'. This approach helps determine which specific object or entity a word refers to when multiple interpretations are possible.