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
buick_limited_engines is a kind of automobile engine	1111	06-jul-2018	100.0
several_popular_books is a kind of media	1111	06-jul-2018	99.7
santa_clara_magazine is a publication	1111	06-jul-2018	95.9
dip_strawberries is a fruit	1111	06-jul-2018	99.9
home_theatre_magazine is a magazine	1111	06-jul-2018	99.8
ryan_phillippe starred in the movie cruel_intentions	1115	03-sep-2018	98.4
michael_nutter is the leader of the city philadelphia	1116	12-sep-2018	100.0
two is the number of people that died in the event n2_dead__3_injured_in_maine_snowmobile_crashes	1116	12-sep-2018	100.0
wfla is a TV station in the city tampa	1116	12-sep-2018	93.8
bell_tower is related to furman	1116	12-sep-2018	100.0