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
marine_park is an aquarium	1111	06-jul-2018	100.0
alcides_escobar coaches a sports team	1111	06-jul-2018	98.0
two_ante is a parlour game	1111	06-jul-2018	100.0
n01_13_2008 is a date	1111	06-jul-2018	100.0
door_tips is something found in or on buildings	1111	06-jul-2018	99.1
orly_taitz belongs to the ethnic group soviet	1116	12-sep-2018	100.0
patrick_swayze starred in the movie dirty_dancing	1115	03-sep-2018	100.0
hotel_victoria is a hotel in the city toronto	1116	12-sep-2018	100.0
stove is often found in kitchen	1111	06-jul-2018	100.0
steven_spielberg directed the movie jurassic_park	1115	03-sep-2018	100.0