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
precious_bean is a legume	1111	06-jul-2018	96.4
n20_50 is a year	1111	06-jul-2018	100.0
minneapolis_city is a county	1111	06-jul-2018	100.0
star_newspapers is a newspaper	1111	06-jul-2018	99.9
agadir_hotels is a park	1111	06-jul-2018	90.0
mother is the mother of joseph001	1115	03-sep-2018	100.0
super_bowl_xliii is a sports game that took place on the date february_1_2009	1116	12-sep-2018	100.0
ted_turner is the CEO of cnn	1116	12-sep-2018	99.6
hindi is the language of the country india	1115	03-sep-2018	100.0
recluse_spiders is an arthropod as well as spiders also is	1111	06-jul-2018	100.0