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
dogwood_leaves is a vegetable	1111	06-jul-2018	92.8
n13__16 is a machine-learning algorithm	1111	06-jul-2018	99.0
links_links_tylenol is a criminal	1111	06-jul-2018	100.0
final_fantasy_chronicles__final_fantasy_4 is software	1112	24-jul-2018	100.0
slender_oldfield_mouse is a mammal	1111	06-jul-2018	100.0
chevrolet is a specific automobile maker dealer in philadelphia	1114	25-aug-2018	100.0
lennox_lewis is an athlete who beat mike_tyson	1115	03-sep-2018	100.0
tom_s_restaurant is a restaurant in the city los_angeles_ca	1116	12-sep-2018	100.0
peoples is a company that has an office in the country china	1111	06-jul-2018	99.6
eva_longoria_parker has husband tony_parker	1116	12-sep-2018	93.8