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
e_j__henderson is an athlete	1111	06-jul-2018	100.0
n3_cups is an item found in the kitchen	1111	06-jul-2018	99.5
rap_guanine_nucleotide_exchange_factor_3 is a protein	1111	06-jul-2018	100.0
video_investments is an economic sector	1111	06-jul-2018	93.0
vuelta_nacional_del_futuro is a sports race	1111	06-jul-2018	100.0
the sports leage nba uses the venue toyota_center	1114	25-aug-2018	100.0
carnegie was born in nueva_york	1116	12-sep-2018	100.0
kbcw is a company that has an office in the city san_francisco	1112	24-jul-2018	100.0
luol_deng plays for the team chicago_bulls	1116	12-sep-2018	100.0
fruit_bats is an animal that eats seeds	1115	03-sep-2018	100.0