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
credit_loan_mortgage is a shopping mall	1111	06-jul-2018	100.0
pallidectomy_pancolectomy is a medical procedure	1111	06-jul-2018	100.0
____title___________emissary_veins is a vein	1111	06-jul-2018	99.1
zheng_jiayu is an Asian person	1111	06-jul-2018	100.0
texas_smart is a company	1111	06-jul-2018	95.2
bernie_sanders is the leader of the city burlington	1116	12-sep-2018	100.0
boston is the home city of the sports team boston_celtics	1116	12-sep-2018	100.0
eli_manning is an athlete who wins super_bowl	1113	15-aug-2018	100.0
bush represents the region two_states	1112	24-jul-2018	100.0
volkswagen terminated the employment of martin_winterkorn	1111	06-jul-2018	100.0