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
oil_worldwide is a visualizable object	1111	06-jul-2018	98.5
appetizers_cooking_recipes is a recipe	1111	06-jul-2018	99.5
curing_phase is a non-disease physiological condition	1111	06-jul-2018	98.5
red_velvet_pound_cake is a baked good	1111	06-jul-2018	100.0
california_humboldt_county is a county	1111	06-jul-2018	100.0
service participated in the event result	1112	24-jul-2018	100.0
prince has citizenship in the country monaco	1114	25-aug-2018	100.0
joseph_conrad contributed to the creative work the_secret_agent	1111	06-jul-2018	100.0
lucy has husband peter	1116	12-sep-2018	93.8
national is a company that has an office in the country iraq	1114	25-aug-2018	100.0