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
hosur_road is a street	1111	06-jul-2018	100.0
world_pulse is a publication	1111	06-jul-2018	91.7
acne_home is a location	1113	15-aug-2018	99.6
hawaiian_dark_rumped_petrel is a bird	1112	24-jul-2018	100.0
aid_shops is a machine-learning conference	1111	06-jul-2018	95.0
tata terminated the employment of b_muthuraman	1112	24-jul-2018	100.0
homer was born in boston	1116	12-sep-2018	100.0
sunridge_woods is a lake in the state or province florida	1116	12-sep-2018	100.0
the sports team eventual_super_bowl_champion_new_york_giants was the winner of super_bowl_xxxv	1116	12-sep-2018	100.0
sega is related to xbox	1114	25-aug-2018	99.6