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
prescription_pseudoephedrine is a muscle	1111	06-jul-2018	99.8
seven_chairs is a kind of furniture	1111	06-jul-2018	100.0
sopron is a geopolitical entity that is a location	1111	06-jul-2018	91.9
n3_cups is an item found in the kitchen	1111	06-jul-2018	99.5
bad_bevensen is a city	1111	06-jul-2018	99.8
ryan_phillippe is related to ryan_phillippe	1116	12-sep-2018	100.0
jones is a musician who plays the piano	1111	06-jul-2018	96.9
dan_monson works for minnesota	1112	24-jul-2018	93.8
state_s_department is an organization also known as resources	1113	15-aug-2018	98.4
encina_hall is related to stanford	1116	12-sep-2018	100.0