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
n1994_the_government is a part of the government	1111	06-jul-2018	94.6
el_carboncito_restaurant is a restaurant	1111	06-jul-2018	100.0
red_legged_grasshopper is an insect	1111	06-jul-2018	100.0
dallas_museum_of_art is a stadium or event venue	1111	06-jul-2018	100.0
justice_paul_stevens is a judge	1111	06-jul-2018	97.4
indiana hired hoeppner	1112	24-jul-2018	100.0
vice_president_biden and michelle_obama are family members	1111	06-jul-2018	93.8
hardrock is a tourist attraction in the city las_vegas	1116	12-sep-2018	93.8
the home stadium of geovany_soto is wrigley_field	1116	12-sep-2018	100.0
jeep is a specific automobile maker dealer in new_york	1114	25-aug-2018	100.0