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
herzog_zwei is a video game	1111	06-jul-2018	92.7
chantax_abnormal_thinking is a cognitive action	1111	06-jul-2018	99.9
robb_miller coaches a sports team	1111	06-jul-2018	91.4
state_street_station is a train station	1111	06-jul-2018	99.6
heavy_glass_door is an item often found in a hallway	1111	06-jul-2018	99.8
service is an organization also known as division	1112	24-jul-2018	99.6
tomato is related to china	1111	06-jul-2018	100.0
oscar_peterson is a person born on the date n1925	1116	12-sep-2018	100.0
asdrubal_cabrera plays for the team indians	1116	12-sep-2018	96.9
san_jose is the home city of the sports team san_jose_state	1116	12-sep-2018	100.0