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
category_table is an item found on the floor	1111	06-jul-2018	99.9
joey_votto is a Mexican person	1111	06-jul-2018	100.0
watauga_county_farmers___market is a retail store	1111	06-jul-2018	99.7
centavos is a currency	1111	06-jul-2018	91.1
tropical_pineapple_rum_cake is a baked good	1111	06-jul-2018	100.0
tohoku_shinkansen is a transportation system located in the city tokyo	1116	12-sep-2018	100.0
olaf_scholz is the leader of the city hamburg	1116	12-sep-2018	100.0
the companies journal_newspapers and new_york_times compete with eachother	1111	06-jul-2018	93.8
forum001 is an attraction that will be fall in city orange	1116	12-sep-2018	100.0
barack is a U.S. politician endorsed by the U.S. politician biden	1112	24-jul-2018	100.0