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
n5_1_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.6
toasted_bagel is a visualizable thing	1111	06-jul-2018	95.6
n2_1_overtime_defeat is an event outcome	1111	06-jul-2018	99.9
two_sticks is a visualizable object	1111	06-jul-2018	98.5
two_minuts is a parlour game	1111	06-jul-2018	100.0
ryan_phillippe is related to ryan_phillippe	1116	12-sep-2018	100.0
jharkhand is a sate or province located in the country india	1116	12-sep-2018	98.4
bengals is headquartered in the state or province new_york	1116	12-sep-2018	100.0
treasure_island is a tourist attraction in the city las_vegas	1116	12-sep-2018	100.0
crustaceans feeds on crabs	1113	15-aug-2018	100.0