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
provimi_veal is a type of meat	1111	06-jul-2018	98.9
georg_anton_rasmussen is a visual artist	1111	06-jul-2018	100.0
west_side_door is an item often found in a hallway	1111	06-jul-2018	99.8
michael_smith is a chef	1111	06-jul-2018	100.0
pointless_report is a physical characteristic	1112	24-jul-2018	100.0
green_foliage has color purple	1114	25-aug-2018	96.9
orlando_magic is a sports team that plays against raptors	1111	06-jul-2018	100.0
justine_henin_hardenne is an athlete who wins australian_open	1116	12-sep-2018	93.8
miller_park is a stadium or event venue located in the city downtown_milwaukee	1116	12-sep-2018	100.0
john_g__shedd_aquarium is an aquarium in the city chicago_south	1116	12-sep-2018	100.0