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
organic_corn is a grain	1111	06-jul-2018	90.0
virginia_august_wilson_theatre is a building	1111	06-jul-2018	92.3
andrea_vicentino is a visual artist	1111	06-jul-2018	100.0
ashrae_the_american_society is a non-profit organization	1111	06-jul-2018	99.7
monique_gabrielle is a fashion model	1111	06-jul-2018	91.3
triangle has shape bisector	1112	24-jul-2018	93.8
lemon is an agricultural product that is usually cooked with white_pepper	1113	15-aug-2018	96.9
child is an animal that can develop chicken_pox	1116	12-sep-2018	100.0
washington_wizards is a sports team that played in series	1113	15-aug-2018	96.9
h__pylori is a bacteria that causes gastritis	1115	03-sep-2018	93.8