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
greater_caddo_lake_association is a professional organization	1111	06-jul-2018	90.2
coral_shrimp is a crustacean	1111	06-jul-2018	99.7
small_sofa_set is an item found on the floor	1111	06-jul-2018	99.7
mike_chesler is a CEO	1111	06-jul-2018	100.0
hyundai_vehicles is a visualizable thing	1111	06-jul-2018	96.6
sam_houston represents the region republic	1113	15-aug-2018	98.4
ned and dan are siblings	1112	24-jul-2018	93.8
qwest_field is a stadium or event venue located in the city seattle	1116	12-sep-2018	99.6
proton is a specific automobile maker dealer in _uk	1116	12-sep-2018	99.2
triangle has shape line	1112	24-jul-2018	93.8