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
ichc is a conference	1111	06-jul-2018	98.7
top_rebounder is a job position	1111	06-jul-2018	94.8
sabine_ehrenfeld is a professor	1111	06-jul-2018	91.2
michael_r__perry is a director	1111	06-jul-2018	92.3
caution_light is a perception event	1111	06-jul-2018	99.4
recluse is called spiders	1111	06-jul-2018	100.0
antonio_villaraigosa is a person who has residence in the geopolitical location los_angeles_ca	1112	24-jul-2018	100.0
eve is the mother of g_d	1114	25-aug-2018	96.9
reuben and eleazar_the_priest are siblings	1113	15-aug-2018	93.8
venice_marco_polo_airport is a generalization of temple_of_the_reclining_buddha	1115	03-sep-2018	100.0