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
n5_000_years is a non-disease physiological condition	1111	06-jul-2018	95.5
canada_states is a country	1111	06-jul-2018	97.5
sunday_star_times is a blog	1111	06-jul-2018	100.0
isabelle_huppert is a North American person	1111	06-jul-2018	100.0
n69_62_loss is an event outcome	1111	06-jul-2018	99.9
maria_sharapova is an athlete who beat kuznetsova	1115	03-sep-2018	100.0
god_the_father and mary are family members	1111	06-jul-2018	98.4
imran_khan got married in n1995	1116	12-sep-2018	100.0
peachtree_industrial_boulevard is a street in the city norcross	1116	12-sep-2018	100.0
xerox has acquired acs	1114	25-aug-2018	99.2