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
n12584 is a ZIP code	1111	06-jul-2018	99.8
folk_thrash_metal is a genre of music	1111	06-jul-2018	98.9
peace_college is a university	1111	06-jul-2018	100.0
two_netizens is a parlour game	1111	06-jul-2018	91.5
saccharopolyspora is a bacterium	1111	06-jul-2018	92.7
emperor has citizenship in the country germany	1112	24-jul-2018	100.0
ford is a company that produces freestyle	1114	25-aug-2018	100.0
new_york_botanical_garden001 is a building located in the city nueva_york	1116	12-sep-2018	100.0
aqaba is a city located in the country jordan	1116	12-sep-2018	96.9
chris_martin is a musician who plays the piano	1116	12-sep-2018	99.2