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
n12739 is a ZIP code	1111	06-jul-2018	99.8
keisha_bean is a legume	1111	06-jul-2018	98.1
ixquick__com is a website	1111	06-jul-2018	92.9
edward_bartlett is a politician	1111	06-jul-2018	100.0
home_job_boards is a building	1111	06-jul-2018	92.2
amani_toomer plays for the team eventual_super_bowl_champion_new_york_giants	1116	12-sep-2018	100.0
tyco_healthcare terminated the employment of dennis_kozlowski	1112	24-jul-2018	100.0
mccain is a person born on the date n1936	1116	12-sep-2018	100.0
hotels is a stadium or event venue located in the city las_vegas	1116	12-sep-2018	100.0
evening is an organization dissolved at the date june	1113	15-aug-2018	93.8