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
kastrup_airport is a transportation system	1111	06-jul-2018	100.0
cliff_lake is a trail	1111	06-jul-2018	100.0
harvard is a school	1116	12-sep-2018	100.0
mohen_naorem is a writer	1111	06-jul-2018	91.2
wrestling_u_s_a_magazine is a magazine	1111	06-jul-2018	99.9
nike terminated the employment of phil_knight	1113	15-aug-2018	100.0
republic is a synonym for south_america	1111	06-jul-2018	98.4
football is a sport with fans in the country us	1115	03-sep-2018	98.4
sony is a company in the economic sector of large_electronics	1111	06-jul-2018	93.8
stephen_green works for hsbc	1111	06-jul-2018	100.0