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
dome_of_the_florence_cathedral is a place of worship	1111	06-jul-2018	99.8
stirfry_sauce_recipes is a recipe	1111	06-jul-2018	99.7
alex_escobar is a person	1111	06-jul-2018	100.0
budesonide_oral_inhalation is a drug	1111	06-jul-2018	100.0
peter_anthony_defazio is a U.S. politician	1111	06-jul-2018	99.9
national is a bank in indonesia	1114	25-aug-2018	100.0
the home stadium of ben_eager is wrigley_field	1116	12-sep-2018	100.0
quentin_tarantino directed the movie kill_bill	1115	03-sep-2018	100.0
bush represents the region state001	1116	12-sep-2018	99.6
the country canada uses the currency dollars	1116	12-sep-2018	100.0