Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Browse the Knowledge Base!

Can computers learn to read? We think so. "Read the Web" is a research project that attempts to create a computer system that learns over time to read the web. Since January 2010, our computer system called NELL (Never-Ending Language Learner) has been running continuously, attempting to perform two tasks each day:

• First, it attempts to "read," or extract facts from text found in hundreds of millions of web pages (e.g., playsInstrument(George_Harrison, guitar)).
• Second, it attempts to improve its reading competence, so that tomorrow it can extract more facts from the web, more accurately.

So far, NELL has accumulated over 50 million candidate beliefs by reading the web, and it is considering these at different levels of confidence. NELL has high confidence in 2,810,379 of these beliefs — these are displayed on this website. It is not perfect, but NELL is learning. You can track NELL's progress below or @cmunell on Twitter, browse and download its knowledge base, read more about our technical approach, or join the discussion group.

Recently-Learned Facts

instance	iteration	date learned	confidence
dgs_students is a victim	1111	06-jul-2018	95.5
tubulin_folding_cofactor_b is a protein	1111	06-jul-2018	100.0
golden_gate_suspension_bridge is a bridge	1111	06-jul-2018	97.5
south_jersey_magazine is a magazine	1111	06-jul-2018	99.8
citrus_thrips is an insect	1111	06-jul-2018	100.0
frontier is a building located in the city las_vegas	1116	12-sep-2018	91.1
countrylink is a transportation system located in the city sydney	1116	12-sep-2018	99.2
edward_johnson is a politician who holds the office of vice_president	1114	25-aug-2018	99.8
bump_wills is the parent of maury_wills	1115	03-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with parsley	1114	25-aug-2018	100.0