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
campus_drive is a highway	1111	06-jul-2018	100.0
nationality_lines is a visualizable attribute	1111	06-jul-2018	90.5
href________shtml____smileless is an emotion	1111	06-jul-2018	97.6
westminster_area is a monument	1111	06-jul-2018	100.0
genuine_record is a political blog	1111	06-jul-2018	99.2
the home stadium of ben_eager is wrigley_field	1116	12-sep-2018	100.0
rockefeller_chapel is related to university_of_chicago	1116	12-sep-2018	100.0
bangkok is the capital city of the country thailand	1116	12-sep-2018	100.0
zola was born in paris	1116	12-sep-2018	100.0
post_office is an organization known by the acronym ups_express	1116	12-sep-2018	93.8