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
cio_today_magazine is a magazine	1111	06-jul-2018	99.7
herald_citizen_in_cookeville is a blog	1111	06-jul-2018	99.9
cotton_bath_rugs is a personal care product	1111	06-jul-2018	97.2
tri_propylene_glycol_n_butyl_ether is a chemical	1111	06-jul-2018	100.0
sauvignon_blanc_and_semillon is a beverage	1111	06-jul-2018	99.9
albert001 was born in the city central_london	1116	12-sep-2018	100.0
emi terminated the employment of lyor_cohen	1112	24-jul-2018	100.0
xml_feed_tweet_seattle_mariners is an organization also known as tigers	1113	15-aug-2018	93.8
triangle has shape interior_angles	1112	24-jul-2018	93.8
corey_bohan is a person born on the date n1982	1116	12-sep-2018	100.0