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
education_first is a political issue	1111	06-jul-2018	99.9
radek_cerny is an Australian person	1111	06-jul-2018	91.8
deeper_respect is an emotion	1111	06-jul-2018	97.3
ichs is a conference	1111	06-jul-2018	98.8
wheel_cover is an item often found in a bathroom	1111	06-jul-2018	99.8
national is a bank in taiwan	1114	25-aug-2018	100.0
garden001 has wife eve	1116	12-sep-2018	100.0
place is a street in the city hague	1116	12-sep-2018	100.0
princess_margaret is a person born on the date n1930	1116	12-sep-2018	100.0
danielle_spencer has husband crowe	1116	12-sep-2018	93.8