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
gettysburg_magazine is a magazine	1111	06-jul-2018	99.8
cd_key is a visualizable attribute	1111	06-jul-2018	90.5
professional_business_coach is a job position	1111	06-jul-2018	95.1
invesco_stadium is a stadium or event venue	1111	06-jul-2018	100.0
pennsylvania_avenue_heights is a train station	1111	06-jul-2018	98.9
ford is a company that produces explorer	1114	25-aug-2018	100.0
grundy is a city located in the state or province tennessee	1116	12-sep-2018	100.0
system001 is a subpart of the body within receptors	1111	06-jul-2018	100.0
oil_dressing is an agricultural product that is usually cooked with lemon	1113	15-aug-2018	96.9
jonglei is a state or province located in the geopolitical location sudan	1115	03-sep-2018	98.4