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
em_poker_strategies is a board game	1111	06-jul-2018	100.0
dyce_airport is a transportation system	1111	06-jul-2018	100.0
formaggella_del___bec_cheese is a cheese	1111	06-jul-2018	93.5
mina_hotel is a tourist attraction	1111	06-jul-2018	94.5
tour_de_thuringe is a sports race	1111	06-jul-2018	100.0
exxon is a company in the economic sector of energy	1114	25-aug-2018	93.8
miller001 is a person who graduated from the university college	1113	15-aug-2018	100.0
services is a subpart of contact_the_texas	1111	06-jul-2018	93.8
stanford hired mike_montgomery	1111	06-jul-2018	98.8
shanghai is a city that lies on the river huangpu	1111	06-jul-2018	100.0