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
catholic_credit_union is a bank	1111	06-jul-2018	100.0
initial_computer is an item found on a table	1111	06-jul-2018	100.0
comment_dogs is software used by machine-learning scientists	1111	06-jul-2018	99.1
u_s__students is a victim	1111	06-jul-2018	100.0
itedness is an emotion	1111	06-jul-2018	97.7
henry001 held the position of head	1114	25-aug-2018	98.4
union_leader is a newspaper in the city manchester	1116	12-sep-2018	99.2
dallas_love_field is an attraction that will be fall in city dallas	1116	12-sep-2018	98.4
brad_pitt is related to brad_pitt	1116	12-sep-2018	100.0
halifax_international is an airport in the city halifax	1116	12-sep-2018	99.2