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
charlene_proctor is a journalist	1111	06-jul-2018	91.4
major_global_impact is an event outcome	1111	06-jul-2018	92.4
senate_special_judiciary_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
sphincter_urethrea_muscle is a muscle	1111	06-jul-2018	99.4
poker_bonus_codes is a board game	1111	06-jul-2018	100.0
nissan makes the automobile pathfinder	1114	25-aug-2018	100.0
anonymous contributed to the creative work beowulf	1113	15-aug-2018	98.4
border_patrol is headquartered in the country u_s_	1116	12-sep-2018	99.6
christine_hauser is a journalist that writes for the publication times	1112	24-jul-2018	99.6
syracuse_university is a sports team that plays the sport football	1116	12-sep-2018	99.6