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
spanish_orange is a color	1111	06-jul-2018	99.7
makeshift_operating_table is a household item	1111	06-jul-2018	94.5
resident_evil__survivor_2_code__veronica is a video game	1111	06-jul-2018	100.0
fieldcon is a convention	1111	06-jul-2018	99.9
spleen_macrophages is a type of biological cell	1111	06-jul-2018	98.6
chicken is an animal that eats cream_gravy	1113	15-aug-2018	98.4
new_dehli is the capital city of the country india	1116	12-sep-2018	100.0
san_francisco participated in the event series	1113	15-aug-2018	100.0
the sports team pirates was the winner of series	1116	12-sep-2018	100.0
abc terminated the employment of mcpherson001	1112	24-jul-2018	96.9