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
scotland_area is a monument	1111	06-jul-2018	100.0
one_piece_swimsuit is a kind of clothing	1111	06-jul-2018	100.0
the_times_standard is a newspaper	1111	06-jul-2018	100.0
clarence_w__nelson is an astronaut	1111	06-jul-2018	100.0
sterling_sliver is a visualizable attribute	1111	06-jul-2018	90.4
wbez is a radio station in the city chicago_south	1116	12-sep-2018	100.0
n30_35_minutes has color brown	1111	06-jul-2018	93.8
jason_lee is related to jason_lee	1116	12-sep-2018	100.0
title is an event at the location new_south_wales	1116	12-sep-2018	93.8
andrea_mantegna is a visual artist in the field of paintings	1116	12-sep-2018	93.8