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
lincoln_aviator_concept is a kind of vehicle	1111	06-jul-2018	100.0
lymph_nodes_on_hands is a lymph node	1111	06-jul-2018	99.7
user_agreement_this_agreement is a TV show	1111	06-jul-2018	100.0
asian_tailed_caecilians is an amphibian	1111	06-jul-2018	100.0
n5_00_11_00 is a time	1112	24-jul-2018	100.0
companies is a chemical that is a kind of carbon	1111	06-jul-2018	96.9
weather is an organization dissolved at the date november	1113	15-aug-2018	96.9
harvey_araton is a journalist that writes for the publication new_york_times	1112	24-jul-2018	100.0
short_skirts is a clothing item to go with shirts	1111	06-jul-2018	100.0
joyce was born in chicago_south	1116	12-sep-2018	100.0