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
alberto_casella is a writer	1111	06-jul-2018	91.6
roxanne_pallett is a female	1111	06-jul-2018	100.0
princeton_alumni_association is a professional organization	1111	06-jul-2018	90.7
rights_protest is a socio-political term	1111	06-jul-2018	97.0
tri_state_university is a sports team	1111	06-jul-2018	100.0
eli and samuel001 are siblings	1114	25-aug-2018	100.0
wvit_tv is a TV station in the city hartford_connecticut	1116	12-sep-2018	100.0
marineland is an aquarium in the city niagara_falls	1116	12-sep-2018	100.0
daniel_descalso is an athlete who led cardinals_27_23	1116	12-sep-2018	93.8
hot_water is often found in rooms	1111	06-jul-2018	100.0