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
posterior_vena_cava is a vein	1111	06-jul-2018	98.8
metal_crusaders_tour is a music festival	1111	06-jul-2018	100.0
john_bernard is a commedian	1111	06-jul-2018	100.0
six_revisions is a publication	1111	06-jul-2018	91.3
mcgraw_professor is a job position	1111	06-jul-2018	95.1
toyotas is a product produced in __america	1116	12-sep-2018	93.8
vanity_fair is a company headquartered in the city new_york	1116	12-sep-2018	100.0
abt is a company also known as abbot_laboratories	1114	25-aug-2018	100.0
adam and eve are family members	1111	06-jul-2018	99.6
ed_colligan is the CEO of palm_inc	1116	12-sep-2018	99.7