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
n2007_kia_spectra is a model of automobile	1111	06-jul-2018	90.5
left_defenseman is a sports team position	1112	24-jul-2018	97.7
acid_and_or_sodium_hydroxide is a chemical	1111	06-jul-2018	100.0
class_allies is a machine-learning conference	1111	06-jul-2018	94.5
em_poker_tx is a board game	1111	06-jul-2018	99.0
kannada is the language of the country india	1115	03-sep-2018	100.0
joe_namath is an athlete who led new_york_jets	1116	12-sep-2018	99.2
yoko_ono has husband john_lennon	1116	12-sep-2018	100.0
national_security_council is headquartered in the country us	1116	12-sep-2018	100.0
magic is a sports team that plays against season_the_clippers	1111	06-jul-2018	99.6