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
josh_bernstein is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
finno_ugrian_languages is a language	1111	06-jul-2018	99.6
type_11_diabetes is a disease	1111	06-jul-2018	100.0
medicated_shampoo is a personal care product	1111	06-jul-2018	99.8
dingmans_ferry_bridge is a bridge	1111	06-jul-2018	97.8
blessed_virgin is the parent of new_orleans_saints	1115	03-sep-2018	98.4
melbourne_museum is a museum in the city melbourne	1116	12-sep-2018	100.0
tver is a city located in the country russia	1116	12-sep-2018	98.4
alexander held the position of tsar	1112	24-jul-2018	100.0
baruch is a person who has attended the school college	1114	25-aug-2018	98.4