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
darien_province is a state or a province	1111	06-jul-2018	98.7
n46_2__ is a machine-learning algorithm	1111	06-jul-2018	90.1
calliotropidae is a mollusk	1111	06-jul-2018	100.0
the_voice_messengers is a musical artist	1111	06-jul-2018	99.0
lawn_mower_racing is a sport	1111	06-jul-2018	100.0
movie_actors is a generalization of dustin_hoffman	1115	03-sep-2018	100.0
rick_neuheisel coaches the team ucla	1116	12-sep-2018	100.0
jockey_club is a building located in the city las_vegas	1116	12-sep-2018	93.8
jeep is a specific automobile maker dealer in kansas	1114	25-aug-2018	100.0
the sports team new_york_mets was the winner of n1986_world_series	1116	12-sep-2018	100.0