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
billund_airport is a transportation port	1111	06-jul-2018	100.0
wkqw is a radio station	1111	06-jul-2018	96.9
ceramic_bath_set is an item often found in a bathroom	1111	06-jul-2018	99.8
table___chairs is an item often found in a bedroom	1111	06-jul-2018	99.9
edna_best is a commedian	1111	06-jul-2018	92.5
easyjet is a company that has an office in the city liverpool	1112	24-jul-2018	100.0
chris_bosh is an athlete that flied out to position center	1111	06-jul-2018	100.0
german is a language used in the university ohio_state_university	1116	12-sep-2018	96.9
whitney_houston and steve_schalchlin are family members	1112	24-jul-2018	100.0
brain_maps_to_mechanisms__neural_circuit_molecular_architecture is part of joint_department_of_neurobiology_and_center_for_the_neural_basis_of_cognition_and_systems_neuroscience_institue_seminar	1116	12-sep-2018	100.0