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
her_home_magazine is a magazine	1111	06-jul-2018	99.8
john_weiss is an architect	1111	06-jul-2018	99.7
n61_2_years is a non-disease physiological condition	1111	06-jul-2018	94.3
argentina_car is a product	1111	06-jul-2018	90.6
bodybuilder_magazines is a kind of media	1111	06-jul-2018	99.1

n2_49_pm is the time of the event boston_marathon_bombings	1116	12-sep-2018	100.0
miami_international is an attraction that will be fall in city miami	1116	12-sep-2018	100.0
wfae is a radio station in the city charlotte	1116	12-sep-2018	96.9
german is a language used in the university northwestern_university	1115	03-sep-2018	96.9
north_la is a city also known as los_angeles_ca	1111	06-jul-2018	98.4

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts