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
radio_rebellion_tour is a music festival	1111	06-jul-2018	100.0
island_park is a trail	1111	06-jul-2018	100.0
n7_300 is a time	1111	06-jul-2018	100.0
liquid_condiments is a food	1111	06-jul-2018	98.0
i_home_clock is an item found on a wall	1111	06-jul-2018	99.4
e_systems is an organization known by the acronym epam_systems	1116	12-sep-2018	100.0
subaru makes the automobile forester	1114	25-aug-2018	100.0
amsterdam_airport_schiphol is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
gary_kelly is the CEO of southwest	1116	12-sep-2018	100.0
qwest_field is a stadium or event venue located in the city seattle	1116	12-sep-2018	99.6