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
ink_painting is a hobby	1111	06-jul-2018	100.0
bryce_anderson is an Australian person	1111	06-jul-2018	93.0
manchester_days_inn is a hotel	1111	06-jul-2018	94.7
section_274_ is a legislative bill	1111	06-jul-2018	97.3
judge_rivkin_carothers is a judge	1111	06-jul-2018	96.3
crocodiles is an animal that preys on reptiles	1112	24-jul-2018	98.9
edinburgh_airport is a building located in the city central_london	1116	12-sep-2018	93.8
face has color blue	1115	03-sep-2018	99.6
the coach andrew_raycroft won the trophy or tournament division	1115	03-sep-2018	100.0
paul001 contributed to the creative work acts	1114	25-aug-2018	100.0