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
cooking_pictures is form of visual art	1111	06-jul-2018	98.3
prescription_buy_medication_online is a muscle	1111	06-jul-2018	99.7
n02_28_09 is a date	1111	06-jul-2018	100.0
dana_rogers is american	1111	06-jul-2018	91.4
piedmont_barbecue_sauce is a condiment	1111	06-jul-2018	99.8
marcus_camby has spouse miller001	1116	12-sep-2018	93.8
alexanderplatz is a tourist attraction in the city berlin	1116	12-sep-2018	93.8
kkbt is headquartered in the city los_angeles_ca	1116	12-sep-2018	100.0
whitney_houston and steve_schalchlin are family members	1112	24-jul-2018	100.0
scott_feldman plays for the team rangers	1116	12-sep-2018	96.9