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
grid_recordings is a record label	1111	06-jul-2018	98.3
feeder_vessels is an artery	1111	06-jul-2018	99.4
hp is an organization	1114	25-aug-2018	100.0
horsfield_s_bronze_cuckoo is a bird	1112	24-jul-2018	100.0
william_howell is an architect	1111	06-jul-2018	100.0
bob_herbert is a journalist that writes for the publication new_york_times	1112	24-jul-2018	100.0
alex001 is a musician who plays the bass	1115	03-sep-2018	100.0
dwayne_bowe and tony_gonzalez are teammates	1111	06-jul-2018	93.8
wsbt is a TV affiliate of the network cbs_evening_news	1116	12-sep-2018	100.0
large_herds refers to more than one animals	1111	06-jul-2018	98.4