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
the_execution_of_all_things is a musical album	1111	06-jul-2018	99.9
bcbg_max_azria_shoes is a kind of clothing	1111	06-jul-2018	100.0
tympanic_branch_of_glossopharyngeal_nerve is a nerve	1111	06-jul-2018	97.7
parathyroid_hormone is a drug	1111	06-jul-2018	100.0
emily_bronte is a female	1111	06-jul-2018	99.9
easyjet is a company that has an office in the city basel	1112	24-jul-2018	93.8
tom_lehman was born in the city austin	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with tomato	1114	25-aug-2018	99.2
subaru makes the automobile subaru_forester	1114	25-aug-2018	96.9
ryan_phillippe is related to ryan_phillippe	1116	12-sep-2018	100.0