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
cotton_plant is a plant	1111	06-jul-2018	100.0
state_park_road is a street	1111	06-jul-2018	100.0
george_washington_university is a school	1116	12-sep-2018	100.0
anthracite_capital_inc is a biotech company	1111	06-jul-2018	100.0
gold_blue_topaz_earrings is a visualizable attribute	1111	06-jul-2018	91.0
chris_pronger has spouse may	1116	12-sep-2018	93.8
eggs is an agricultural product coming from nestlings	1114	25-aug-2018	96.9
lima is the capital city of the country peru	1116	12-sep-2018	100.0
the companies newark_star_ledger and los_angeles compete with eachother	1111	06-jul-2018	93.8
oakland_a_s is headquartered in the state or province new_york	1116	12-sep-2018	100.0