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
south_holland_hyundai is an automobile manufacturer	1111	06-jul-2018	99.9
jewish_internet is a visualizable attribute	1111	06-jul-2018	90.7
trust_account_record is a political blog	1111	06-jul-2018	99.2
blobbiness is an emotion	1111	06-jul-2018	97.8
wanda_martin is an actor	1111	06-jul-2018	91.4
gazprom_neft terminated the employment of rem_vyakhirev	1113	15-aug-2018	100.0
usps is a company also known as united_states_postal_service	1111	06-jul-2018	93.8
contact_the_division is a synonym for services	1111	06-jul-2018	98.4
cups is an agricultural product that contains caffeine	1112	24-jul-2018	93.8
steven_derounian was born in the country bulgaria	1116	12-sep-2018	100.0