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
alfred_luttermann is a monarch	1111	06-jul-2018	97.1
pool_spa_living_magazine is a magazine	1111	06-jul-2018	99.8
thunderstorm_wind is a weather phenomenon	1111	06-jul-2018	98.7
mary_s_a_grand_old_name is a song	1111	06-jul-2018	100.0
orthogonal_polynomials is a scientific term	1111	06-jul-2018	100.0
joe_torre is an athlete that flied out to position center	1111	06-jul-2018	100.0
national is a bank in thailand	1114	25-aug-2018	100.0
belfast_zoo is a zoo in the city belfast	1116	12-sep-2018	100.0
dome is an attraction made of concrete	1111	06-jul-2018	100.0
talgo is a transportation system located in the city vancouver	1116	12-sep-2018	100.0