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
assateague_island_national_park is a monument	1111	06-jul-2018	99.8
n30_06_2009 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
coffee_butter is a condiment	1111	06-jul-2018	99.9
yogurt_tea is a beverage	1111	06-jul-2018	99.9
kdaf_tv is a TV station	1111	06-jul-2018	99.6
j_p__howell is a person also known as aaron_rodgers	1115	03-sep-2018	100.0
lubbock is a city located in the geopolitical location texas_tech	1113	15-aug-2018	93.8
japanese_language is a language taught in language schools in the city tokyo	1113	15-aug-2018	100.0
venus_williams is an athlete who wins wimbledon	1114	25-aug-2018	100.0
baghdad is the capital city of the country iraq	1116	12-sep-2018	100.0