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
gummi_hearts is a kind of candy	1111	06-jul-2018	96.5
wkpc_tv is a TV station	1111	06-jul-2018	99.6
aya_zune_xbox_zen_video_converter is a consumer electronic device	1111	06-jul-2018	99.9
wlvh is a radio station	1111	06-jul-2018	96.9
n1932_los_angeles_olympics is an instance of the olympics	1111	06-jul-2018	93.7
harrison is a person who graduated from the university college	1115	03-sep-2018	96.9
football is a sport with fans in the country china	1111	06-jul-2018	99.0
red_coat is a clothing item to go with boots	1111	06-jul-2018	99.6
scott_hairston is an athlete that flied out to position center	1111	06-jul-2018	100.0
national is a bank in portugal	1114	25-aug-2018	100.0