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
alex_kang is a fashion model	1111	06-jul-2018	98.5
class_hotel_service is a machine-learning conference	1111	06-jul-2018	96.4
stockport_car is a product	1111	06-jul-2018	92.0
internal_sheath_of_optic_nerve is a nerve	1111	06-jul-2018	99.2
kalpana_lajmi is a male	1111	06-jul-2018	90.2

john_stossel is a person who belongs to the organization abc_news	1111	06-jul-2018	100.0
bugs is an invertebrate animal that feeds on seeds	1115	03-sep-2018	100.0
laguardia is an attraction that will be fall in city nueva_york	1116	12-sep-2018	93.8
mount_carwood is a mountain in the state or province michigan	1116	12-sep-2018	100.0
miami_dolphins is a sports team that won the super_bowl	1113	15-aug-2018	99.2

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts