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
scott_spencer is an Australian person	1111	06-jul-2018	99.8
is_thinking_about_thinking is a cognitive action	1111	06-jul-2018	99.9
ken_boswell is a U.S. politician	1111	06-jul-2018	99.9
swollen_lymph_nodes_armpit is a lymph node	1111	06-jul-2018	99.2
street_furniture is an item found on the floor	1111	06-jul-2018	99.4
seattle_seahawks_21_10 is a sports team that plays the sport football	1116	12-sep-2018	100.0
nissan makes the automobile titan	1114	25-aug-2018	93.8
quds_force is headquartered in the country iran	1116	12-sep-2018	100.0
english is a language used in the university columbia_university	1116	12-sep-2018	100.0
products001 is a product produced in __america	1116	12-sep-2018	100.0