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
movable_partition_doors is something found in or on buildings	1111	06-jul-2018	98.8
table_repair is an item found on the floor	1111	06-jul-2018	99.8
university_of_california_berkeley is a school	1116	12-sep-2018	99.7
specific_economic_problems is a disease	1111	06-jul-2018	90.5
unprecedented__the_2000_presidential_election is an election	1111	06-jul-2018	94.1
ty_cobb plays the athletic team position player	1111	06-jul-2018	96.9
belle_haven is a city located in the state or province virginia	1116	12-sep-2018	93.8
chevrolet is a specific automobile maker dealer in missouri	1114	25-aug-2018	100.0
rachel graduated from college	1114	25-aug-2018	94.1
spiders is an arthropod as well as brown_recluse also is	1112	24-jul-2018	100.0