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
windlesham_cathedral is a place of worship	1112	24-jul-2018	99.9
key_mould is a fungus	1111	06-jul-2018	94.1
tsxas_texas is a board game	1111	06-jul-2018	100.0
homocysteine_lowering_nutrients is a food	1111	06-jul-2018	98.6
system_simulation is an academic field	1111	06-jul-2018	91.2
kelvin_sampson is related to english	1116	12-sep-2018	100.0
the loosing score of n2006_orange_bowl was 23	1116	12-sep-2018	100.0
curtis_granderson and magglio_ord__ez are teammates	1112	24-jul-2018	93.8
vladimir_putin represents the region russia_federation	1113	15-aug-2018	100.0
lincoln_center_for_the_performing_arts is a museum in the city new_york	1116	12-sep-2018	100.0