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
papuan_eared_nightjar is a bird	1112	24-jul-2018	100.0
services_coordinator is a kind of office held by a politician	1111	06-jul-2018	100.0
ucsd_study is a research project	1111	06-jul-2018	97.7
precision_mold is a fungus	1111	06-jul-2018	97.6
n0_54_percentage_points is a machine-learning algorithm	1111	06-jul-2018	99.2
aaron is the father of eleazar	1116	12-sep-2018	99.8
tony_gonzalez and dwayne_bowe are teammates	1111	06-jul-2018	93.8
anderson graduated from high_school	1114	25-aug-2018	99.2
former_green_bay_packers is a sports team that played in title	1113	15-aug-2018	99.6
bernice_seach got married in n1956	1116	12-sep-2018	100.0