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
contact_sodexo is a book	1111	06-jul-2018	90.7
table_linen is a visualizable object	1111	06-jul-2018	100.0
glass_door_panel is something found in or on buildings	1111	06-jul-2018	99.6
french_and_or_dutch is an ethnic group	1111	06-jul-2018	95.8
fourth_outfielder is a sports team position	1111	06-jul-2018	99.5
the final score of the sports game athletic_conference was gamescore:n2_4	1116	12-sep-2018	100.0
the country african_countries uses the currency dollars	1116	12-sep-2018	98.4
chevrolet is a specific automobile maker dealer in indianapolis	1114	25-aug-2018	100.0
usc is a sports team that plays against virginia_tech	1111	06-jul-2018	98.4
theodore_roosevelt represents the region us	1115	03-sep-2018	93.8