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
halochromatium_glycolicum is a bacterium	1111	06-jul-2018	100.0
marcel_louis_baugniet is an architect	1111	06-jul-2018	100.0
bootleg__ladybird_enterprises_records is a record label	1111	06-jul-2018	98.4
links_hours is a criminal	1111	06-jul-2018	100.0
kerrville_restaurant is a restaurant	1111	06-jul-2018	100.0
timolide is a drug worked on by merck	1114	25-aug-2018	100.0
clash is a musician in the genre classic_punk	1111	06-jul-2018	100.0
aj_allmendinger has spouse jeff	1116	12-sep-2018	98.4
home is found in observatory	1115	03-sep-2018	100.0
silvio_berlusconi held the position of prime_minister	1111	06-jul-2018	100.0