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
scenic_river_valley can be a part of a landscape	1111	06-jul-2018	99.0
black_legged_tick is an arthropod	1111	06-jul-2018	100.0
princeton_alumni_association is a professional organization	1111	06-jul-2018	90.7
representative_gregory_meeks is a politician	1111	06-jul-2018	100.0
kennard_road is a highway	1111	06-jul-2018	93.6
nelson_mandela got married in n1998	1116	12-sep-2018	100.0
john_terry plays for the team chelsea	1116	12-sep-2018	100.0
weapons is a type of weapon produced in yugoslav_federation	1111	06-jul-2018	99.8
suvarnabhumi_international is an attraction that will be fall in city bangkok	1116	12-sep-2018	93.8
countries is a generalization of canada	1116	12-sep-2018	100.0