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
estate_planning_workers is a trade union	1111	06-jul-2018	94.6
optional_accessories is an item often found in a bathroom	1111	06-jul-2018	99.9
finance_degree_program is an academic field	1111	06-jul-2018	100.0
arteria_rectalis_caudalis is an artery	1111	06-jul-2018	99.5
womans_shoes is a kind of clothing	1111	06-jul-2018	100.0
sergio_romo is an athlete that flied out to position center	1111	06-jul-2018	100.0
levi_johnston is a person who has age 18	1116	12-sep-2018	100.0
doug graduated from college	1114	25-aug-2018	100.0
mooo_restaurant is a restaurant in the city boston	1116	12-sep-2018	100.0
n82 is the number of people killed in the event aleppo_university_bombings	1116	12-sep-2018	100.0