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
outer_envelope is an office supply	1113	15-aug-2018	93.1
sollution_process is a cognitive action	1111	06-jul-2018	100.0
cape_may_hotels is a park	1111	06-jul-2018	90.2
hiv__1 is a bacterium	1111	06-jul-2018	91.5
mission_arizona is a beach	1111	06-jul-2018	92.7
systems is a subpart of mineral	1111	06-jul-2018	93.8
the sports team yankees was the winner of n1999_world_series	1116	12-sep-2018	100.0
countries is a generalization of south_africa	1116	12-sep-2018	100.0
mbia has official website http___www_mbia_com	1114	25-aug-2018	100.0
van_note plays the athletic team position left_center	1111	06-jul-2018	93.8