Read the Web :: Carnegie Mellon University

NELL: Never-Ending Language Learning

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.

instance	iteration	date learned	confidence
vitelline_venous_plexus is a vein	1111	06-jul-2018	96.4
wildlife_world_zoo_inc is an aquarium	1111	06-jul-2018	100.0
taxing_magazines is a kind of media	1111	06-jul-2018	99.0
spicy_raisin_coffee_cake is a baked good	1111	06-jul-2018	100.0
boston_society_of_architects is a professional organization	1111	06-jul-2018	90.1

jeep makes the automobile jeep_grand_cherokee	1114	25-aug-2018	100.0
general_motors is a company headquartered in the city detroit	1116	12-sep-2018	100.0
united_nations is an organization known by the acronym un	1113	15-aug-2018	100.0
new_york_magazine is a newspaper in the city new_york	1116	12-sep-2018	100.0
j_r_smith is a person also known as linas_kleiza	1115	03-sep-2018	100.0

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts