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
_83 is a dataset used within the scientific field of machine learning	1112	24-jul-2018	100.0
cape_pond is a lake	1111	06-jul-2018	100.0
zoo_hannover is a zoo	1111	06-jul-2018	99.9
pejepscot_maine is a beach	1111	06-jul-2018	90.7
chair_poker is a cardgame	1111	06-jul-2018	93.3
bengals is headquartered in the state or province new_york	1116	12-sep-2018	100.0
tuiasosopo and luis_valbuena are teammates	1111	06-jul-2018	93.8
great_war happened on the date august_1914	1116	12-sep-2018	100.0
ritchie has wife madonna	1116	12-sep-2018	100.0
c__s__lewis is related to cs_lewis	1116	12-sep-2018	100.0