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
adam_cunnington is a professor	1111	06-jul-2018	91.2
redwood_tree is a plant	1111	06-jul-2018	99.3
death_on_the_nile is a book	1111	06-jul-2018	100.0
premature_ejaculation_premature_ejaculation is a physiological condition	1111	06-jul-2018	93.1
alexander_von_humboldt is a monarch	1111	06-jul-2018	98.8
air_canada_center is a tourist attraction in the city toronto	1116	12-sep-2018	99.0
buffalo_evening_news is headquartered in the city new_york	1116	12-sep-2018	93.8
industrial___commercial_bank is a company that has an office in the country china	1114	25-aug-2018	93.8
zoo_basel is a zoo in the city basel	1116	12-sep-2018	100.0
new_york_times is a newspaper in the city boston	1116	12-sep-2018	100.0