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
infertility_medications is an archaeon	1111	06-jul-2018	93.0
standard_silver is a visualizable attribute	1111	06-jul-2018	90.7
n10_14_percent is a machine-learning algorithm	1111	06-jul-2018	98.8
oil___vinegar is a visualizable thing	1111	06-jul-2018	96.5
andrea_corr is a fashion model	1111	06-jul-2018	100.0
hoeppner works for indiana	1112	24-jul-2018	93.8
state_university is a sports team also known as ohio_northern	1111	06-jul-2018	99.6
the final score of the sports game wembley was gamescore:n3_2	1116	12-sep-2018	100.0
federal_housing_authority is an organization known by the acronym fha	1114	25-aug-2018	100.0
brain_maps_to_mechanisms__neural_circuit_molecular_architecture occurrs in the room room_1495	1116	12-sep-2018	100.0