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
los_senos is a currency	1111	06-jul-2018	99.8
galloway_arkansas is a beach	1111	06-jul-2018	99.3
charles_connell is a criminal	1111	06-jul-2018	100.0
hemiazygos_vein is an artery	1111	06-jul-2018	99.3
pierce_s_food_mart is a retail store	1111	06-jul-2018	99.5
paul is a musician who is part of stevie_wonder	1111	06-jul-2018	100.0
sir_howard_stringer is the CEO of sony	1116	12-sep-2018	100.0
treptower_park is a park in the city berlin	1116	12-sep-2018	100.0
roddick is an athlete who wins wimbledon	1116	12-sep-2018	99.9
knbc is a TV station in the city los_angeles_ca	1116	12-sep-2018	100.0