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
full_time_accountant is a job position	1111	06-jul-2018	94.9
water_related_activities is a hobby	1111	06-jul-2018	99.4
protein_kinase_c_theta is a protein	1111	06-jul-2018	100.0
box_kite_spider is an arachnid	1111	06-jul-2018	100.0
elisa_bridges ia a celebrity	1111	06-jul-2018	95.7
charles_schwab is a company in the economic sector of investment	1111	06-jul-2018	94.0
temodar is a drug worked on by merck	1114	25-aug-2018	96.9
holly_madison is a person who has age 28	1116	12-sep-2018	100.0
jack_nicklaus_and_pete_dye is an athlete who beat gary_player	1114	25-aug-2018	100.0
michael_deaver died in the state or province md	1116	12-sep-2018	100.0