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
n18_27 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
first_dorsal_interosseus_muscle is a part of the body	1111	06-jul-2018	99.9
john_pendleton is a commedian	1111	06-jul-2018	100.0
hidden_markov_models_iii is a machine-learning algorithm	1111	06-jul-2018	98.1
prescription_xanax_effects is a muscle	1111	06-jul-2018	99.8
white is related to cloud	1116	12-sep-2018	100.0
the sports team indians was the winner of n1948_world_series	1116	12-sep-2018	100.0
texas_rangers is a sports team that plays against tampa_bay_devil_rays	1111	06-jul-2018	98.4
jerome_robbins belongs to the ethnic group russian_jewish	1116	12-sep-2018	100.0
alex_wilson plays in the league nfl	1116	12-sep-2018	100.0