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
hexyl_methyl_ether is a chemical	1111	06-jul-2018	100.0
nominations_meeting is a perception action	1111	06-jul-2018	91.2
kenneth_g__ross is a scientist	1111	06-jul-2018	100.0
psp_usded_games is a consumer electronic device	1111	06-jul-2018	99.9
n2_09_pm_0_comments is a dataset used within the scientific field of machine learning	1111	06-jul-2018	95.6
european_countries is a generalization of bulgaria	1116	12-sep-2018	93.8
richard_goldstone belongs to the religion jewish	1116	12-sep-2018	100.0
hotels is a stadium or event venue located in the city las_vegas	1116	12-sep-2018	100.0
27 was the winning score in super_bowl_xvii	1116	12-sep-2018	100.0
sega is related to dreamcast	1114	25-aug-2018	100.0