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
james_a__pawelzyk is an astronaut	1111	06-jul-2018	100.0
open_living_room_area is a kind of room	1111	06-jul-2018	99.7
aims_worldwide_inc is a biotech company	1111	06-jul-2018	100.0
various_courses is a TV show	1111	06-jul-2018	100.0
tommy_noonan is a commedian	1111	06-jul-2018	92.6
presidents_kennedy_and_johnson is a politician who holds the office of secretary	1114	25-aug-2018	99.7
triangle has shape two_sides	1112	24-jul-2018	100.0
lake_tahoe is a lake in the state or province california	1116	12-sep-2018	100.0
the sports team yankees was the winner of playoff	1116	12-sep-2018	98.4
venetian_resort is a hotel in the city las_vegas	1116	12-sep-2018	100.0