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
center_checks is a sports team position	1111	06-jul-2018	99.4
holdem_pokerroom is a cardgame	1111	06-jul-2018	100.0
full_time_accountant is a job position	1111	06-jul-2018	94.9
chevy_chevelle_fuel is a model of automobile	1111	06-jul-2018	99.6
publisher_quality is a character trait	1111	06-jul-2018	99.5
diana has husband charles	1116	12-sep-2018	99.2
belarus is a country also known as china	1111	06-jul-2018	93.8
chuck_reed is the leader of the city san_jose	1116	12-sep-2018	100.0
atlantic_monthly is a company headquartered in the city new_york	1116	12-sep-2018	99.6
san_francisco is a city also known as pacific	1112	24-jul-2018	93.8