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
torry_holt is an athlete	1111	06-jul-2018	100.0
radolfzell is a city	1111	06-jul-2018	99.8
prescription_acid is a muscle	1111	06-jul-2018	99.7
kvct_tv is a TV station	1111	06-jul-2018	99.5
magill_street is a street	1111	06-jul-2018	100.0
n70 is the number of people injured in the event bomb_kills_20_at_pakistan_vegetable_market	1116	12-sep-2018	100.0
lifetime is taller than events	1116	12-sep-2018	98.4
trafalgar_square is a park in the city central_london	1116	12-sep-2018	100.0
new_york_aquarium is an aquarium in the city new_york	1116	12-sep-2018	100.0
hp terminated the employment of carly_fiorina	1114	25-aug-2018	100.0