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
middle_school_language_arts_teacher is a political issue	1111	06-jul-2018	99.8
evan_bloodoff is a Mexican person	1111	06-jul-2018	94.4
translucent_paper is an office supply	1111	06-jul-2018	93.4
zoo_america_north_american is a zoo	1111	06-jul-2018	99.9
n18_65 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
emperor has citizenship in the country germany	1112	24-jul-2018	100.0
n11 is the number of people that died in the event n1999_bourbonnais__illinois__train_accident	1116	12-sep-2018	100.0
martinez held the position of pitcher	1111	06-jul-2018	100.0
williams is a person who has attended the school college	1112	24-jul-2018	100.0
tommy_ramone is a musician who is part of ramones	1112	24-jul-2018	93.8