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
carolyn_martin is a politician	1111	06-jul-2018	100.0
lenny_dykstra is a person	1111	06-jul-2018	100.0
rights_education_activities is a political issue	1111	06-jul-2018	100.0
n11_00_am_6__00_pm is a time	1111	06-jul-2018	100.0
eastern_long_toed_salamander is an amphibian	1111	06-jul-2018	100.0
memphis is the home city of the sports team memphis_grizzlies	1116	12-sep-2018	100.0
clyde_haberman is a journalist that writes for the publication new_york_times	1113	15-aug-2018	93.8
human_powered_data_management occurrs in the building gates___hillman_centers	1116	12-sep-2018	100.0
william_verity is a person who has residence in the country us	1115	03-sep-2018	100.0
the sport baseball was played at n1966_world_series	1116	12-sep-2018	100.0