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
state_road_43 is a highway	1111	06-jul-2018	93.6
sen__elizabeth_dole is a politician	1111	06-jul-2018	90.1
safety_features_standard_safety_features is a model of automobile	1111	06-jul-2018	99.2
movie_a_shot_in_the_dark is a movie	1111	06-jul-2018	100.0
page_use is an office supply	1115	03-sep-2018	99.7
george_mason_university_school_of_law is a sports team also known as state_university	1111	06-jul-2018	93.8
texas is a state that is bordered by the state louisiana	1116	12-sep-2018	100.0
calgary_international_airport is a generalization of temple_of_the_reclining_buddha	1114	25-aug-2018	100.0
middlesex_turnpike is a street in the city bedford	1116	12-sep-2018	100.0
tata terminated the employment of b_muthuraman	1112	24-jul-2018	100.0