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
n1889___1982 is a year	1111	06-jul-2018	100.0
n75_km_north is a non-sports, non-electronic game	1111	06-jul-2018	90.7
european_committee is a political organization that is not part of the government	1111	06-jul-2018	100.0
white_sulphur_springs_montana is an island	1111	06-jul-2018	96.7
poker_muck is a cardgame	1111	06-jul-2018	91.6

mike_smith coaches the team falcons	1116	12-sep-2018	100.0
white_beans is an agricultural product that is usually cooked with peppers	1112	24-jul-2018	93.8
seattle_seahawks_21_10 is a sports team that played in super_bowl	1113	15-aug-2018	98.4
the_morgan_library___museum is a museum in the city new_york	1116	12-sep-2018	93.8
floor a muscle located in bodypart knees	1116	12-sep-2018	93.8

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts