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
n1966_world_series is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
linda_lee is an Asian person	1111	06-jul-2018	100.0
green_river_road is a highway	1111	06-jul-2018	100.0
patton_museum is a museum	1111	06-jul-2018	100.0
city_sightseeing_san_francisco is a building	1111	06-jul-2018	91.8
edgar_froese is a musician who plays the guitar	1113	15-aug-2018	93.8
jackson_diehl is a journalist that writes for the publication washington	1113	15-aug-2018	96.9
black_pepper is an agricultural product that is usually cooked with salt	1114	25-aug-2018	100.0
new_south_wales is the location of the event n2011_christchurch_earthquake	1116	12-sep-2018	100.0
virgin is the mother of holy_trinity	1116	12-sep-2018	93.8