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
colored_rectangles is a geometric shape	1111	06-jul-2018	90.9
quick_money is a currency	1111	06-jul-2018	100.0
international_cycling_classic_tour_of_elk_grove is a sports race	1111	06-jul-2018	100.0
line_child_health_insurance is an economic sector	1111	06-jul-2018	99.9
grand_pacific_palisades_hotel is a tourist attraction	1111	06-jul-2018	94.5
national is a bank that bought insured	1114	25-aug-2018	100.0
national is a bank in bangladesh	1114	25-aug-2018	100.0
temple_street is a street in the city new_haven	1116	12-sep-2018	100.0
sk is a sate or province located in the country canada	1116	12-sep-2018	93.8
hearst has acquired chronicle	1113	15-aug-2018	98.4