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
volvo_120_series_engines is a kind of automobile engine	1111	06-jul-2018	100.0
sheffield_area is a monument	1111	06-jul-2018	100.0
american_driver_and_traffic_safety_education_association is a professional organization	1111	06-jul-2018	100.0
psp_memory_stick_1gb is a consumer electronic device	1111	06-jul-2018	100.0
mount_sendoro is a mountain	1111	06-jul-2018	100.0
engineering_degrees is a type of technology	1116	12-sep-2018	100.0
rachel has brother leah	1112	24-jul-2018	96.9
european_countries is a generalization of austria	1116	12-sep-2018	96.7
michael_eisner is a top member of the_walt_disney_co_	1116	12-sep-2018	100.0
red_wings is a sports team that won the stanley_cup_finals	1113	15-aug-2018	100.0