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
city_credit_union_independence_mo is a credit union	1111	06-jul-2018	100.0
gatesville_restaurant is a restaurant	1111	06-jul-2018	100.0
robert_earnshaw is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
joan_yankowitz is an African person	1111	06-jul-2018	90.7
ethiopian_democratic_forces is a terrorist organization	1111	06-jul-2018	99.6
the companies nbc__s_today_show and new_york compete with eachother	1111	06-jul-2018	98.4
morgan_stanley is a bank that has james_p__gorman as its CEO	1116	12-sep-2018	100.0
green_park is a park in the city central_london	1116	12-sep-2018	100.0
big_horn is a mountain in the state or province wyoming	1116	12-sep-2018	100.0
kelly graduated from state_university	1111	06-jul-2018	100.0