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
clarion_county is an airport	1111	06-jul-2018	100.0
n37_speed_x_cyclone_radio is an item often found in a bedroom	1111	06-jul-2018	99.8
harvey_chichester is a journalist	1111	06-jul-2018	98.7
n5_4_overtime_loss is an event outcome	1111	06-jul-2018	100.0
palmer_lake is a visualizable scene	1111	06-jul-2018	99.4

fluorescent looks like display001	1114	25-aug-2018	93.8
cincinnati is the capital city of the state or province oh	1116	12-sep-2018	100.0
kxci is a radio station in the city tucson	1116	12-sep-2018	100.0
republican is a person who has residence in the geopolitical location new_york	1114	25-aug-2018	93.9
the companies red_herring and journal compete with eachother	1111	06-jul-2018	99.9

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts