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
burnt_sienna is a color	1111	06-jul-2018	100.0
boron_trifluoride_ethyl_ether_complex is a chemical	1111	06-jul-2018	100.0
n15_17_years is a non-disease physiological condition	1111	06-jul-2018	91.7
errant_rockets is a weapon	1111	06-jul-2018	98.0
capestang is a city	1111	06-jul-2018	99.7
jane_wyman is related to jane_wyman	1116	12-sep-2018	100.0
greg_nickels is the leader of the city seattle	1116	12-sep-2018	100.0
Eating tea_consumption decreases the risk of cancer	1111	06-jul-2018	100.0
koji_uehara plays the sport baseball	1116	12-sep-2018	99.9
vinny_del_negro coaches in the league nba	1116	12-sep-2018	100.0