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
elmhurst_avenue is a street	1111	06-jul-2018	100.0
venerable_horseradish_sauce is a condiment	1111	06-jul-2018	99.9
ornelas_s_arboreal_alligator_lizard is a reptile	1111	06-jul-2018	100.0
projects_link is a criminal	1111	06-jul-2018	100.0
pumpkin_cheesecakes is a food	1111	06-jul-2018	97.9
short_skirts is a clothing item to go with shorts	1111	06-jul-2018	93.8
chicken eat penne_pasta	1116	12-sep-2018	100.0
national is a bank in sudan	1114	25-aug-2018	100.0
flowers is an agricultural product grown in region	1116	12-sep-2018	100.0
sofia is the capital city of the country bulgaria	1116	12-sep-2018	96.9