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
rhino_entertainment_company is a record label	1111	06-jul-2018	98.7
jackie_nelson is a professor	1111	06-jul-2018	90.9
n31_35 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
porch_doors is an item often found in a hallway	1111	06-jul-2018	100.0
legal_council is a professional organization	1111	06-jul-2018	100.0
la_times is related to www_latimes_com	1116	12-sep-2018	100.0
joel_achenbach is a journalist that writes for the publication washington	1113	15-aug-2018	99.8
cattle refers to more than one entire_herd	1112	24-jul-2018	93.8
memphis_grizzlies participated in the event games	1113	15-aug-2018	99.6
antoine_wright plays in the league nba	1116	12-sep-2018	100.0