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
the_new_red_green_show is a TV show	1111	06-jul-2018	100.0
mount_daly is a mountain	1111	06-jul-2018	100.0
gardner_kansas is an island	1111	06-jul-2018	96.5
peter_g__neumann is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
master_closets is a kind of room	1111	06-jul-2018	99.1
postal_service_priority_mail is an organization known by the acronym ups_express	1116	12-sep-2018	100.0
gymnosperms is a plant that is a kind of trees	1111	06-jul-2018	100.0
north_palisade is a mountain in the state or province california	1116	12-sep-2018	100.0
linda_hogan has husband hulk_hogan	1116	12-sep-2018	100.0
rose_garden is a stadium or event venue located in the city portland	1116	12-sep-2018	100.0