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
koh_pha_ngan is a visualizable scene	1111	06-jul-2018	99.2
akc_judge is a judge	1111	06-jul-2018	97.8
private_master_bathroom is an office building room	1111	06-jul-2018	98.6
chronic_cor_pulmonale is a physiological condition	1111	06-jul-2018	91.8
sick_computer is an item found on a table	1111	06-jul-2018	99.8
acura is a specific automobile maker dealer in new_york	1114	25-aug-2018	100.0
systems is a subpart of hot_water	1111	06-jul-2018	100.0
english is a language used in the university loyola_college	1113	15-aug-2018	93.8
jason_williams is an athlete coached by reggie_theus	1116	12-sep-2018	100.0
the home stadium of rich_harden is wrigley_field	1116	12-sep-2018	100.0