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
propiedades_inmobiliarias is a currency	1111	06-jul-2018	99.8
slender_platanna_klipfish is a fish	1111	06-jul-2018	100.0
large_nerve is a nerve	1111	06-jul-2018	98.7
john_joseph is a European person	1111	06-jul-2018	100.0
class_bodies is a machine-learning conference	1112	24-jul-2018	93.8

the sports team twins was the winner of championship_series	1116	12-sep-2018	93.8
mike_d_antoni coaches in the league nba	1116	12-sep-2018	100.0
morgan_freeman is an actor that worked with the director clint_eastwood	1115	03-sep-2018	100.0
the companies texas_tribune and new_york compete with eachother	1111	06-jul-2018	99.6
commonwealth_countries is a generalization of canada	1116	12-sep-2018	93.8

Read the Web
Research Project at Carnegie Mellon University

NELL: Never-Ending Language Learning

Recently-Learned Facts