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
ron_herman is a company	1111	06-jul-2018	90.5
kedm is a radio station	1111	06-jul-2018	96.9
agreement_an_agreement is a TV show	1111	06-jul-2018	100.0
southern_cream_gravy is a condiment	1111	06-jul-2018	99.9
andrew_johnson_national_cemetery is a place of worship	1111	06-jul-2018	99.9
pests is a type of spider_mites	1111	06-jul-2018	98.7
sierra_nevada_mountain is a mountain in the state or province california	1116	12-sep-2018	100.0
alex001 is a musician who plays the guitar	1115	03-sep-2018	93.8
concord is the capital city of the state or province new_hampshire	1116	12-sep-2018	100.0
the_press is a newspaper in the city los_angeles_ca	1116	12-sep-2018	100.0