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
lamp_table is an item often found in a bedroom	1111	06-jul-2018	99.9
lina_wertm_ller is a director	1111	06-jul-2018	92.6
john_steinbeck is a scientist	1111	06-jul-2018	100.0
melco_crown_entertainment_ltd is a biotech company	1111	06-jul-2018	100.0
windows___doors___skylights is something found in or on buildings	1111	06-jul-2018	98.8
interest is a building located in the city las_vegas	1116	12-sep-2018	99.9
ksvi is a TV affiliate of the network abc_news	1116	12-sep-2018	93.8
edward_johnson is a politician who holds the office of senator	1114	25-aug-2018	93.8
wallace graduated from college	1112	24-jul-2018	96.9
great_smoky_mountains is a mountain in the state or province north_carolina	1116	12-sep-2018	100.0