Knowledge and language: How educated, literate and intelligent can computers be?

Algorithms for knowledge extraction from texts and Web sources have enabled the construction of machine-readable knowledge bases which comprise millions of entities and billions of facts about and relationships between entities. Computers can harness such digital knowledge to semantically interpret natural language, correctly disambiguating even highly ambiguous names and phrases. This deep language understanding opens up better ways of text analytics, question-answer dialogs, and human-computer interaction.