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
emilia_bean is a legume	1111	06-jul-2018	97.9
family_computer is an item found on a table	1111	06-jul-2018	100.0
nov__86 is a date	1111	06-jul-2018	100.0
l_immigrazione is a wine	1111	06-jul-2018	99.2
north_florida is a state or a province	1111	06-jul-2018	96.9
los_angeles_ca is the home city of the sports team boston_red_sox_organization	1116	12-sep-2018	100.0
kent_mercker is an athlete that flied out to position center	1111	06-jul-2018	100.0
natalie has spouse grant	1116	12-sep-2018	93.8
title has citizenship in the country ada	1114	25-aug-2018	99.8
dodge is a specific automobile maker dealer in arizona	1115	03-sep-2018	100.0