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
reduced___fat_carrot_cake is a baked good	1111	06-jul-2018	100.0
carmen_mcrae is a musician	1111	06-jul-2018	92.9
pacific_internet_ltd is a biotech company	1111	06-jul-2018	100.0
tart_pans is an item found in the kitchen	1111	06-jul-2018	99.7
late_onset_asthma is a physiological condition	1111	06-jul-2018	94.4
left_carotid arises from jugular_vein	1116	12-sep-2018	93.8
german is the language of the country yugoslav_federation	1111	06-jul-2018	93.8
roberts graduated from college	1114	25-aug-2018	100.0
elverson_road is a park in the city central_london	1116	12-sep-2018	100.0
la is a city also known as los_angeles_ca	1111	06-jul-2018	100.0