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
adam_adach is a visual artist	1111	06-jul-2018	90.6
kitty_yung is an Asian person	1111	06-jul-2018	100.0
ellen_drive is a highway	1111	06-jul-2018	93.5
alabama_florida_league is a sports league	1116	12-sep-2018	95.4
staff_students is a victim	1111	06-jul-2018	100.0
the country cuba uses the currency pesos	1116	12-sep-2018	100.0
bed is often found in standard	1114	25-aug-2018	100.0
father is the father of christ_jesus	1115	03-sep-2018	99.6
house hired state	1111	06-jul-2018	99.6
frank_chance is a politician who holds the office of president	1116	12-sep-2018	100.0