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
student_government_association_senator is a job position	1111	06-jul-2018	97.9
tour_d_armor is a sporting event	1111	06-jul-2018	100.0
tropical_colours is a visualizable attribute	1111	06-jul-2018	90.6
carpet_face is a household item	1111	06-jul-2018	90.3
north_fork_molalla_river is a river	1111	06-jul-2018	100.0
arthur_miller wrote the book the_crucible	1113	15-aug-2018	100.0
philadelphia is the home city of the sports team blue_jays	1116	12-sep-2018	99.6
president_bill_clinton001 has wife hillary	1116	12-sep-2018	100.0
the final score of the sports game match was gamescore:n15_11	1116	12-sep-2018	100.0
crustaceans is a type of marine_animals	1113	15-aug-2018	100.0