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
page_content is a CEO	1111	06-jul-2018	100.0
bill_lutz is a journalist	1111	06-jul-2018	97.5
locked_bedroom_door is an item often found in a hallway	1111	06-jul-2018	99.8
n8_30_a_m__5_p_m_ is a time	1111	06-jul-2018	100.0
ronald_stewart ia a celebrity	1111	06-jul-2018	90.7
amram is the father of moses	1116	12-sep-2018	99.8
dodge is a specific automobile maker dealer in ohio	1115	03-sep-2018	96.9
black_pepper is an agricultural product that is usually cooked with chicken	1114	25-aug-2018	100.0
the companies examiner and los_angeles compete with eachother	1111	06-jul-2018	100.0
carla_del_ponte belongs to the ethnic group swiss	1116	12-sep-2018	100.0