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
humberto_fuentes is a professor	1111	06-jul-2018	91.3
portia_de_rossi is a female	1111	06-jul-2018	93.8
oldsmobile_442_hurst_special is a kind of vehicle	1111	06-jul-2018	99.9
the_six_parts_seven is a musical artist	1111	06-jul-2018	98.1
n11_07_32 is a term used by physicists	1111	06-jul-2018	93.8
george_mason graduated from college	1114	25-aug-2018	97.7
people is a company that has an office in the country china	1111	06-jul-2018	99.2
katrina is a person who has residence in the city los_angeles_ca	1111	06-jul-2018	99.6
david and don are siblings	1113	15-aug-2018	98.4
biden is a U.S. politician endorsed by the U.S. politician mccain	1113	15-aug-2018	99.9