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
calliope_cave is a cave	1111	06-jul-2018	100.0
center_applications is a sports team position	1111	06-jul-2018	99.2
n00_01 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
smoot_hawley_tariff is a legislative bill	1111	06-jul-2018	94.6
mohd_fairuz is a director	1111	06-jul-2018	90.6
seattle is a city located in the state or province washington	1116	12-sep-2018	100.0
refridgerator is often found in kitchen	1116	12-sep-2018	96.9
the sports team yankees was the winner of n1998_world_series	1116	12-sep-2018	100.0
klm is a company headquartered in the city amsterdam	1116	12-sep-2018	100.0
manresa_beach is a lake in the state or province california	1116	12-sep-2018	100.0