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
westover_marketplace is a shopping mall	1111	06-jul-2018	100.0
neve_mcintosh is a Canadian person	1111	06-jul-2018	90.3
fill_lighting is a perception event	1111	06-jul-2018	98.6
guitar_hero__world_tour is a video game	1111	06-jul-2018	100.0
excursions is a hobby	1111	06-jul-2018	99.8
kirk graduated from state_university	1111	06-jul-2018	98.4
jackson was born in new_orleans	1116	12-sep-2018	99.6
bed is often found in romantic_rooms	1115	03-sep-2018	98.4
biden is a U.S. politician endorsed by the U.S. politician hillary_clinton	1112	24-jul-2018	100.0
dc is a city also known as baltimore	1113	15-aug-2018	93.8