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
cole_county_judge is a judge	1111	06-jul-2018	98.1
cases_of_hereditary_early_menopause is a non-disease physiological condition	1111	06-jul-2018	90.5
drafting_paper is an office supply	1114	25-aug-2018	94.5
polar_effect is an event outcome	1111	06-jul-2018	91.9
owego_creek is a river	1111	06-jul-2018	100.0
citigroup is a company headquartered in the city nueva_york	1116	12-sep-2018	100.0
fda is headquartered in the country us	1116	12-sep-2018	99.2
english_language is the language of the country canada	1116	12-sep-2018	99.2
green_foliage has color purple	1114	25-aug-2018	96.9
lincoln makes the automobile navigator	1114	25-aug-2018	100.0