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
donetsk_airport is a transportation port	1111	06-jul-2018	100.0
eastern_university_eagles is a sports team	1111	06-jul-2018	100.0
day_2_comments is a product	1111	06-jul-2018	90.2
n5_4_overtime_loss is an event outcome	1111	06-jul-2018	100.0
two_minuts is a parlour game	1111	06-jul-2018	100.0
becky has husband brian	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with water	1114	25-aug-2018	96.9
frick_park is a park in the city pittsburgh	1116	12-sep-2018	100.0
nady and gardner are teammates	1112	24-jul-2018	93.8
arms is a type of weapon produced in china	1111	06-jul-2018	100.0