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
twango is a website	1111	06-jul-2018	95.9
anthony_johnson is an Australian person	1111	06-jul-2018	100.0
unlevelness is a character trait	1111	06-jul-2018	99.4
german_polish is a language	1111	06-jul-2018	99.3
demeton_s_methyl is a drug	1111	06-jul-2018	100.0
services is a subpart of contact_the_texas	1111	06-jul-2018	93.8
town was born in the city new_york	1116	12-sep-2018	100.0
the country falkland_islands uses the currency pounds	1116	12-sep-2018	100.0
peter_andre has wife jordan	1116	12-sep-2018	90.9
flea an arthropod that can be very irritating to mammal animals	1116	12-sep-2018	99.8