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
connecticut_hotels is a park	1111	06-jul-2018	93.6
poker_the_intensity is a non-sports, non-electronic game	1111	06-jul-2018	95.0
arizona_scorpion is an arachnid	1111	06-jul-2018	100.0
bean_seed is a fruit	1111	06-jul-2018	100.0
park_deep_middle_cerebral_vein is a vein	1111	06-jul-2018	97.5
kutv is a TV affiliate of the network cbs_evening_news	1116	12-sep-2018	100.0
derek_lowe coaches the team atlanta_braves	1116	12-sep-2018	96.9
san_francisco is a city that lies on the river san_joaquin	1112	24-jul-2018	93.8
bed is often found in bedroom_studio	1111	06-jul-2018	93.8
english is the language of the country the_gambia	1114	25-aug-2018	93.8