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
second_free_end_paper is an office supply	1112	24-jul-2018	92.7
pike_county is an airport	1111	06-jul-2018	100.0
nodes_herpes_lymph_swollen is a lymph node	1111	06-jul-2018	99.4
employment_this_page ia a celebrity	1111	06-jul-2018	90.8
cedar_woods can be a part of a landscape	1111	06-jul-2018	99.0
visual_communications is an academic program at the university college	1112	24-jul-2018	100.0
softbank terminated the employment of masayoshi_son	1114	25-aug-2018	100.0
metropolitan_museum_of_art is a tourist attraction in the city new_york	1116	12-sep-2018	93.8
baseball is a sport taught in the country __america	1116	12-sep-2018	100.0
national is a bank that bought standard_bank	1114	25-aug-2018	100.0