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
central_midfield is a sports team position	1111	06-jul-2018	99.5
john_sjogren is american	1111	06-jul-2018	100.0
atomizer_top is a kind of clothing	1111	06-jul-2018	91.9
el_milagro_farm is a farm	1111	06-jul-2018	98.7
n3_2_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.7
seattle_tacoma_international is an attraction that will be fall in city seattle	1116	12-sep-2018	98.4
lincoln is a specific automobile maker dealer in virginia	1114	25-aug-2018	93.8
spider is called daddy_long_legs	1111	06-jul-2018	100.0
chairs is often found in standard	1114	25-aug-2018	99.2
depo_provera is a drug worked on by pfizer	1114	25-aug-2018	100.0