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
roast_veal is a type of meat	1111	06-jul-2018	98.8
fast_home is a location	1114	25-aug-2018	99.5
rain___wind is a weather phenomenon	1111	06-jul-2018	99.1
n11_28_14 is a term used by physicists	1111	06-jul-2018	92.9
whangarei_airport is a transportation port	1111	06-jul-2018	100.0
steve_jobs works in the economic sector computer_hardware	1115	03-sep-2018	100.0
television looks like family	1115	03-sep-2018	100.0
tara_miller has husband simon_cowell	1116	12-sep-2018	100.0
ductus_arteriosus arises from aorta	1116	12-sep-2018	100.0
melanie graduated from college	1114	25-aug-2018	100.0