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
two_georgia is a parlour game	1111	06-jul-2018	100.0
n20_03_2008 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	100.0
karen_shook is a professor	1111	06-jul-2018	91.2
commercial_square is a geometric shape	1111	06-jul-2018	94.2
joyce_svitak is an African person	1111	06-jul-2018	90.9
sausage_shank is related to pig	1114	25-aug-2018	100.0
bobby_jones is an athlete who wins grand_slam	1116	12-sep-2018	100.0
chicken is an animal that eats poblano_sauce	1112	24-jul-2018	93.8
baseball is a sport played in the venue citizen_bank_park	1114	25-aug-2018	100.0
san_francisco is a city also known as pacific	1112	24-jul-2018	93.8