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
american_choral_directors___association is a non-profit organization	1111	06-jul-2018	99.2
george_james is a European person	1111	06-jul-2018	99.9
matt_diaz is american	1111	06-jul-2018	100.0
n14_working_days is a visualizable object	1111	06-jul-2018	98.5
pale_yellow_glow is a perception event	1111	06-jul-2018	97.3
robert_heinlein contributed to the creative work stranger_in_a_strange_land	1112	24-jul-2018	99.6
calgery_zoo is a zoo in the city calgery	1116	12-sep-2018	100.0
pakbeng is a city that lies on the river mekong	1111	06-jul-2018	100.0
talbot is a specific automobile maker dealer in _uk	1116	12-sep-2018	93.8
lily has spouse rose	1116	12-sep-2018	93.8