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
seena_owen is a person	1111	06-jul-2018	93.1
pocahontas_star_herald is a blog	1111	06-jul-2018	100.0
starbucks_coffee_company is a café	1114	25-aug-2018	100.0
ground_next_door is an item often found in a hallway	1111	06-jul-2018	100.0
rochelle_illinois is a geopolitical entity that is a location	1111	06-jul-2018	96.4
beds is often found in one_bed_room	1111	06-jul-2018	93.8
brett_favre coaches the team new_york_jets	1116	12-sep-2018	98.4
busch_gardens is an attraction that will be fall in city tampa	1116	12-sep-2018	100.0
tubby_smith works for minnesota	1112	24-jul-2018	99.8
state_university is an organization also known as north_texas_state	1112	24-jul-2018	93.8