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
routine_meeting is a perception action	1111	06-jul-2018	94.9
weekly_phone is an item found on a table	1111	06-jul-2018	94.0
guelma is a geopolitical entity that is a location	1111	06-jul-2018	92.0
microwave_software is a tool	1111	06-jul-2018	99.6
peace_college is a university	1111	06-jul-2018	100.0
martha_stewart is a company headquartered in the city new_york	1116	12-sep-2018	99.5
kayaking is a sport taught in the country __america	1116	12-sep-2018	99.2
football_players is a generalization of chad_pennington	1116	12-sep-2018	100.0
boston_airport is an attraction that will be fall in city boston	1116	12-sep-2018	96.9
irving_azoff is the CEO of giant	1116	12-sep-2018	96.9