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
blackberry_accessories is an item often found in a bathroom	1111	06-jul-2018	99.9
tropical_pineapple_rum_cake is a baked good	1111	06-jul-2018	100.0
germany___cell is a country	1111	06-jul-2018	99.7
nj_nets is a sports team	1111	06-jul-2018	100.0
onlinepoker_texas is a non-sports, non-electronic game	1111	06-jul-2018	100.0
nancy001 is a person who graduated from the university college	1112	24-jul-2018	100.0
massachusetts_department_of_environmental_protection is headquartered in the country u_s_	1116	12-sep-2018	96.9
alli_sims and britney_spears are family members	1111	06-jul-2018	100.0
kuznetsova is an athlete who wins u_s__open	1116	12-sep-2018	93.8
drake is the leader of the city plymouth	1116	12-sep-2018	93.8