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
n3_0_victory is an event outcome	1111	06-jul-2018	99.9
jane_harrison is an author in the scientific field of machine learning	1111	06-jul-2018	100.0
john_scott is an Australian person	1111	06-jul-2018	100.0
vladka_kartouskova is a fashion model	1111	06-jul-2018	100.0
aiseesoft_ipad_epub_transfer is a video game system	1111	06-jul-2018	98.8
the country germany uses the currency euros	1116	12-sep-2018	100.0
the companies post and chicago001 compete with eachother	1111	06-jul-2018	98.4
sandimmune is a drug having the side effect side_effects	1113	15-aug-2018	93.8
sap is a bank that has henning_kagermann as its CEO	1116	12-sep-2018	100.0
adventures is a generalization of biking	1111	06-jul-2018	100.0