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
grilled_beef_sirloin is a type of meat	1111	06-jul-2018	99.2
room_home is a stadium or event venue	1111	06-jul-2018	100.0
verichron_clock is an item found on a wall	1111	06-jul-2018	99.5
n1_corinthians_12_13 is an ethnic group	1111	06-jul-2018	97.8
louisville_state_recreation_area is a monument	1111	06-jul-2018	99.9
contact_the_ministry is a synonym for affairs	1111	06-jul-2018	98.4
dodge is a specific automobile maker dealer in ohio	1115	03-sep-2018	96.9
lord is the parent of yeshua	1115	03-sep-2018	99.2
gov__bush is a U.S. politician endorsed by the U.S. politician bush	1113	15-aug-2018	93.8
melanie is a person who has attended the school college	1114	25-aug-2018	100.0