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
ras_al_khaimah is a state or a province	1111	06-jul-2018	98.2
rushville is a visualizable scene	1111	06-jul-2018	99.1
yeast_management is a fungus	1111	06-jul-2018	90.5
modern_ensuite_bathroom is an office building room	1111	06-jul-2018	98.1
beans_ingredients is a fruit	1111	06-jul-2018	99.2
shaun_alexander plays the athletic team position player	1113	15-aug-2018	99.2
ryan_newman is a person who belongs to the organization nascar	1112	24-jul-2018	96.9
george_mason_university_school_of_law is a sports team also known as state_university	1111	06-jul-2018	93.8
indiana terminated the employment of hoeppner	1112	24-jul-2018	100.0
reykjav_k is the capital city of the country iceland	1116	12-sep-2018	93.8