Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
kristin_kreuk is a female	1111	06-jul-2018	100.0
kick_off_meeting is a perception action	1111	06-jul-2018	99.9
academic_misconduct ia a crime or charge	1111	06-jul-2018	100.0
alabama_state_university is a school	1116	12-sep-2018	100.0
mask_software is a tool	1111	06-jul-2018	99.6

ford is a company that produces fairmont	1114	25-aug-2018	100.0
madison_square_garden is the home venue for the sports team rangers	1116	12-sep-2018	100.0
muktinath is a place of worship that practices the religion of hinduism	1116	12-sep-2018	100.0
hampton_coliseum is a stadium or event venue located in the city hampton	1116	12-sep-2018	93.8
the companies media and youtube compete with eachother	1111	06-jul-2018	98.4

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts