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
assembly_hall is a stadium or event venue	1111	06-jul-2018	95.1
aiseesoft_flv_converter_suite_for_mac is a video game system	1111	06-jul-2018	98.6
angela_henry is a professor	1111	06-jul-2018	91.0
mendenhall_lake is a lake	1111	06-jul-2018	100.0
class_imagination is a machine-learning conference	1111	06-jul-2018	91.2
xom_ is a company also known as exxon	1114	25-aug-2018	100.0
san_francisco_zen_center is a place of worship that practices the religion of buddhism	1116	12-sep-2018	100.0
alfonso_soriano is an athlete who led chicago_cubs	1116	12-sep-2018	98.4
standard_mandarin is the language of the country china	1111	06-jul-2018	93.8
spiders is a type of predators	1111	06-jul-2018	100.0