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
ael_arena is a stadium or event venue	1111	06-jul-2018	100.0
culture_this_article is a legislative bill	1111	06-jul-2018	91.9
new_texas is a board game	1111	06-jul-2018	100.0
wkms_fm is a radio station	1111	06-jul-2018	99.9
charles_harris is a CEO	1111	06-jul-2018	100.0
states is a subpart of north_america	1111	06-jul-2018	93.8
akron hired j_d__brookhart	1112	24-jul-2018	96.7
finding_needles_in_exponential_haystacks occurrs in the building wean_hall	1116	12-sep-2018	100.0
columbus is the home city of the sports team franklin	1116	12-sep-2018	100.0
hood is a mountain in the state or province oregon	1116	12-sep-2018	98.4