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
san_francisco_symphony_orchestra is a musician	1111	06-jul-2018	97.1
living___dining_room is a kind of room	1111	06-jul-2018	99.9
pepper_jack_cheese is an agricultural product	1111	06-jul-2018	100.0
upcoming_october_elections is an election	1111	06-jul-2018	93.7
washington_wizards_basketball is a building	1111	06-jul-2018	92.2
communities is a generalization of member	1114	25-aug-2018	99.8
francisella is a bacteria that causes tularemia	1112	24-jul-2018	97.8
the_andy_warhol_museum is a museum in the city pittsburgh	1116	12-sep-2018	100.0
insects is a type of spider_mites	1111	06-jul-2018	100.0
theodor_kollek belongs to the ethnic group israeli	1116	12-sep-2018	100.0