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
westfield_downtown_plaza_shopping_center is a shopping mall	1111	06-jul-2018	100.0
mirror_number is a household item	1111	06-jul-2018	92.6
pint_glass is an item found in the kitchen	1111	06-jul-2018	99.7
kindred_magazine is a magazine	1111	06-jul-2018	99.9
inside_out is a musical album	1111	06-jul-2018	100.0
ken_norton coaches the team usc	1116	12-sep-2018	93.8
t__h__white contributed to the creative work the_once_and_future_king	1112	24-jul-2018	100.0
ford is a company that produces fiesta	1114	25-aug-2018	100.0
royal_ontario_museum is a museum in the city toronto	1116	12-sep-2018	100.0
louis_armstrong_new_orleans_international_airport is an airport in the city new_orleans	1116	12-sep-2018	100.0