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
stripe_creek is a river	1111	06-jul-2018	100.0
movie_deep_end_of_the_ocean is a movie	1111	06-jul-2018	100.0
class_help is a machine-learning conference	1111	06-jul-2018	92.6
communist_new_people_s_army is a terrorist organization	1111	06-jul-2018	99.8
n6_38_pm is a time	1111	06-jul-2018	100.0
large_herds is a generalization of springbok	1111	06-jul-2018	99.6
european_airports is a generalization of rome_fiumicino	1115	03-sep-2018	100.0
bed is often found in mezzanine	1116	12-sep-2018	94.8
hannah is the parent of samuel001	1114	25-aug-2018	100.0
france is a sports team that won the grand_slam	1115	03-sep-2018	100.0