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
kuwait_finance_house is a bank	1111	06-jul-2018	94.0
annual_valentine is a European person	1111	06-jul-2018	100.0
summer_session_students is a victim	1111	06-jul-2018	100.0
new_macedonia_pentecostal_healing_temple is a religion	1111	06-jul-2018	100.0
n1996_school_election is an election	1111	06-jul-2018	95.3
products001 is a product produced in korea	1116	12-sep-2018	93.8
web_site is headquartered in the country u_s_	1116	12-sep-2018	100.0
the home stadium of joe_tinker is wrigley_field	1116	12-sep-2018	100.0
foliage has color gold	1111	06-jul-2018	100.0
effectiveness is a synonym for services	1111	06-jul-2018	93.8