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
how_to_critique_a_museum is a museum	1111	06-jul-2018	100.0
leslie_whitaker is american	1111	06-jul-2018	91.5
best_ever_devil_s_food_cake is a baked good	1111	06-jul-2018	100.0
epic_power_metal is a genre of music	1111	06-jul-2018	98.7
hispaniolan_wheeping_frog is an amphibian	1111	06-jul-2018	100.0
pnc has acquired national_city	1114	25-aug-2018	100.0
mbia is headquartered in the state or province new_york	1116	12-sep-2018	100.0
sandisk_corporation is a company that has an office in the city san_jose	1112	24-jul-2018	93.8
lucas_oil_stadium is related to lucas_oil	1114	25-aug-2018	100.0
toronto is a city that lies on the river niagara	1113	15-aug-2018	98.4