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
luis_p_rez is a Mexican person	1111	06-jul-2018	100.0
randall_road is a street	1111	06-jul-2018	100.0
resistance_exercise_training is a hobby	1111	06-jul-2018	99.8
northern_credit_union is a company	1111	06-jul-2018	100.0
rich_water is a beverage	1111	06-jul-2018	92.0
walter graduated from college	1112	24-jul-2018	98.4
sweats is a clothing item to go with jeans	1111	06-jul-2018	100.0
whale is a type of mammals	1114	25-aug-2018	99.9
sacramento is the capital city of the state or province california	1116	12-sep-2018	99.6
david_lynch directed the movie eraserhead	1115	03-sep-2018	99.7