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
manuel_quintana is a South American person	1111	06-jul-2018	92.7
n5_00_pm_est is a time	1111	06-jul-2018	100.0
respiratory_system_problems is a physiological condition	1111	06-jul-2018	93.0
sales_table is an item found on the floor	1111	06-jul-2018	100.0
awful_picture is form of visual art	1111	06-jul-2018	99.2
plastic is a building feature made from the building material glass	1115	03-sep-2018	93.8
houston_oilers is a sports team that won the super_bowl	1113	15-aug-2018	100.0
chickens is an animal that eats seeds	1115	03-sep-2018	100.0
the sports leage ncaa uses the venue jordan_hare_stadium	1111	06-jul-2018	100.0
clark is an athlete who injured his/her face	1114	25-aug-2018	100.0