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
texas_dow_employees_credit_union is a bank	1111	06-jul-2018	100.0
geography_magazines is a kind of media	1111	06-jul-2018	99.1
car_prices_car is a product	1111	06-jul-2018	90.6
tony_armas_jr is an athlete	1111	06-jul-2018	100.0
collared_palm_thrush is a bird	1112	24-jul-2018	100.0
cells is a subpart of the body within development	1111	06-jul-2018	93.8
wsb_tv is a TV affiliate of the network abc_news	1116	12-sep-2018	100.0
new_york_university_school is a sports team that plays in the league international	1116	12-sep-2018	100.0
the country seychelles uses the currency rupees	1116	12-sep-2018	100.0
kendall_hunter and receiver_dez_bryant are teammates	1111	06-jul-2018	93.8