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
mario_and_luigi__partners_in_time is a video game	1111	06-jul-2018	100.0
ivy_tech_state_college_east_central is a train station	1111	06-jul-2018	99.5
megaspilidae is a mollusk	1111	06-jul-2018	100.0
gp_de_lugano is a sporting event	1111	06-jul-2018	100.0
marriot_renaissance_center is a skyscraper	1111	06-jul-2018	99.9
andre_johnson and matt_schaub are teammates	1111	06-jul-2018	99.6
philadelphia is the home city of the sports team temple_university	1116	12-sep-2018	100.0
creatures is an animal that preys on reptiles	1112	24-jul-2018	93.8
cooper_hewitt_national_design_museum is a museum in the city nueva_york	1116	12-sep-2018	100.0
ravens is a sports team that won the afc_championship	1113	15-aug-2018	100.0