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
primary_auditory_area is a kind of brain tissue	1111	06-jul-2018	99.0
bridgeport_connecticut_post is a blog	1111	06-jul-2018	100.0
oak_woodland can be a part of a landscape	1111	06-jul-2018	98.3
sergio_romo is a Mexican person	1111	06-jul-2018	99.9
saint_marks_methodist_church is a religion	1111	06-jul-2018	100.0
prince has citizenship in the country france_france	1114	25-aug-2018	100.0
frank_parker is an athlete who wins french_open	1111	06-jul-2018	100.0
supplies is a subpart of power	1111	06-jul-2018	93.8
the coach mark_grudzielanek won the trophy or tournament world_series	1115	03-sep-2018	100.0
super_bowl_xliv_the_indianapolis_colts hired caldwell	1113	15-aug-2018	99.2