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
tubulin_folding_cofactor_b is a protein	1111	06-jul-2018	100.0
golden_tiger_pot_sticker_dipping_sauce is a condiment	1111	06-jul-2018	99.8
occasions_mother is a monarch	1111	06-jul-2018	97.3
cyclododecanol is a chemical	1111	06-jul-2018	100.0
upcoming_october_elections is an election	1111	06-jul-2018	93.7
maryland is a sate or province located in the country south_korea	1116	12-sep-2018	100.0
carl_bernstein is a journalist that writes for the publication washington	1113	15-aug-2018	99.6
lt__joseph_r__hunt is an athlete who injured his/her hands	1115	03-sep-2018	100.0
david_harrison plays in the league nba	1116	12-sep-2018	100.0
barack_obama represents the region harvard_law_review	1114	25-aug-2018	100.0