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
saint_michaels_episcopal_church is a religion	1111	06-jul-2018	100.0
keratoconus_keratoconus is a disease	1111	06-jul-2018	92.1
internet_marketing_articles is a kind of media	1111	06-jul-2018	99.3
john_riley is a professor	1111	06-jul-2018	100.0
col_nac__de_san_francisco is a South American person	1111	06-jul-2018	91.8
the companies the_los_angeles_times_book_review and new_york compete with eachother	1111	06-jul-2018	98.4
washington is a state that is bordered by the state vermont	1113	15-aug-2018	93.8
tom_thibodeau coaches the team chicago_bulls	1116	12-sep-2018	93.8
rose can represent love	1113	15-aug-2018	99.6
toilets is often found in rooms	1111	06-jul-2018	100.0