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
beans_ingredients is a fruit	1111	06-jul-2018	99.2
torun is a geopolitical entity that is an organization	1111	06-jul-2018	94.4
pork_tenderloin_roast is a type of meat	1111	06-jul-2018	99.9
harbor_winery is a winery	1111	06-jul-2018	100.0
lactobacillus_senmaizukei is a bacterium	1111	06-jul-2018	100.0
charles has brother james	1116	12-sep-2018	99.6
charlotte_douglas_international is an attraction that will be fall in city charlotte	1116	12-sep-2018	100.0
the sport baseball was played at n1951_world_series	1116	12-sep-2018	100.0
richard_goldstone is a person who has residence in the country south_africa	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with nutmeg	1114	25-aug-2018	99.6