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
banana_wheat_germ_bread is a baked good	1111	06-jul-2018	100.0
dominika_volfova is a fashion model	1111	06-jul-2018	100.0
first_generation_college_students is a victim	1111	06-jul-2018	100.0
mountain_cycling is a sport	1111	06-jul-2018	100.0
supplemental_dental_insurance is an economic sector	1112	24-jul-2018	99.8
large_herds is a generalization of elk	1111	06-jul-2018	98.4
digger_phelps coaches the team notre_dame	1116	12-sep-2018	93.8
guillermo_mota is an athlete that flied out to position center	1111	06-jul-2018	100.0
ray_charles is a musician who plays the piano	1113	15-aug-2018	100.0
chris_osgood and legace are teammates	1111	06-jul-2018	93.8