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
prescription_breast is a muscle	1111	06-jul-2018	99.5
natalie_burris is a female	1111	06-jul-2018	99.9
the_winery is a winery	1111	06-jul-2018	100.0
moto_zn200 is a product	1111	06-jul-2018	92.5
steel_pommel is a building material	1111	06-jul-2018	95.1
gainesville is a subpart of georgia	1111	06-jul-2018	100.0
suburban_rail is a transportation system located in the city central_london	1116	12-sep-2018	100.0
dave_navarro is a musician who plays the guitar	1115	03-sep-2018	93.8
nigeria is a country also known as china	1111	06-jul-2018	93.8
roger graduated from college	1114	25-aug-2018	100.0