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
maree_cheatham is an actor	1111	06-jul-2018	99.9
more_work is a hobby	1111	06-jul-2018	99.4
sony_vaio_laptop is a consumer electronic device	1111	06-jul-2018	100.0
malgwa_dialect is a language	1111	06-jul-2018	98.7
university_of_phoenix_wichita_campus is a university	1111	06-jul-2018	100.0
thomas_hardy contributed to the creative work tess_of_the_durbervilles	1112	24-jul-2018	93.8
cardinals_27_23 is a sports team that won the nfl_championship	1115	03-sep-2018	100.0
bay is a sports team that plays the sport football	1116	12-sep-2018	100.0
eve and adam are family members	1111	06-jul-2018	99.6
arena is a building located in the city las_vegas	1116	12-sep-2018	98.4