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
n18_14 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
yakima_jaguar is an automobile manufacturer	1111	06-jul-2018	97.9
mount_gahinga is a mountain	1111	06-jul-2018	100.0
jonathan_fortune is a journalist	1111	06-jul-2018	100.0
monster_hunter__freedom_2 is a video game	1111	06-jul-2018	100.0
pests is a type of spiders	1111	06-jul-2018	100.0
the sports leage nascar uses the venue daytona_international_speedway	1114	25-aug-2018	100.0
jacques_steinberg is a journalist that writes for the publication new_york_times	1112	24-jul-2018	100.0
anna_nicole_smith is a person who died at the age of 39	1116	12-sep-2018	100.0
football_players is a generalization of eli_manning	1113	15-aug-2018	100.0