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
associate_attorney_general is a kind of office held by a politician	1111	06-jul-2018	100.0
john_holcomb is a fashion model	1111	06-jul-2018	99.2
summer_outdoor_activities is a hobby	1111	06-jul-2018	99.7
table_cabinet is an item found on the floor	1111	06-jul-2018	99.4
line_subprime is a visualizable attribute	1111	06-jul-2018	90.4
md is a sate or province located in the country usa	1116	12-sep-2018	100.0
beds is often found in one_bed_room	1111	06-jul-2018	93.8
china is a country located in the geopolitical location asia	1111	06-jul-2018	100.0
flowers is an agricultural product produced in israel	1114	25-aug-2018	100.0
disney_world001 is a building located in the city orlando	1116	12-sep-2018	99.6