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
small_jumping_spider is an arachnid	1111	06-jul-2018	100.0
hudson_county_community_college is a university	1111	06-jul-2018	100.0
british_leyland_motor_corporation is an automobile manufacturer	1111	06-jul-2018	99.1
poker_tournament_details is a sporting event	1111	06-jul-2018	100.0
n2000_report is a physical characteristic	1111	06-jul-2018	100.0
youth_soccer is a sport taught in the country __america	1116	12-sep-2018	99.6
john_kerry is a U.S. politician endorsed by the U.S. politician biden	1112	24-jul-2018	96.4
kroq is a radio station in the city los_angeles_ca	1116	12-sep-2018	100.0
dome is an attraction made of concrete	1111	06-jul-2018	100.0
emperor has citizenship in the country prussia	1112	24-jul-2018	100.0