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
steve_gunderson is a musician	1111	06-jul-2018	100.0
white_chocolate_dipped_strawberries is a kind of candy	1111	06-jul-2018	96.8
domitila_bean is a legume	1111	06-jul-2018	98.0
tommy_fraser is an Australian person	1111	06-jul-2018	100.0
amy_stewart is an actor	1111	06-jul-2018	100.0
lance_briggs plays for the team n1985_chicago_bears	1116	12-sep-2018	93.8
space_shuttle_astronauts is a generalization of john_young	1116	12-sep-2018	100.0
english is a language used in the university new_york_university__s_steinhardt_school	1113	15-aug-2018	100.0
the sports team yankees was the winner of n1949_world_series	1116	12-sep-2018	100.0
firstgroup is headquartered in the country britain	1116	12-sep-2018	100.0