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
star_tabloid is a newspaper	1111	06-jul-2018	94.7
beauty_fashion___magazine is a magazine	1111	06-jul-2018	99.8
ac_forum_hotel is a place to ski	1111	06-jul-2018	96.2
clubionidae is a mollusk	1111	06-jul-2018	100.0
tree_cricket is an invertebrate	1111	06-jul-2018	100.0
products001 is a product produced in morocco	1111	06-jul-2018	93.8
fred_kendall is the parent of jason_kendall	1115	03-sep-2018	93.8
football_players is a generalization of gary_payton	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with steak	1114	25-aug-2018	96.9
invesco_field_at_mile_high is a tourist attraction in the city denver	1116	12-sep-2018	99.9