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
parapat is a visualizable scene	1111	06-jul-2018	99.3
heathcote_greytown_national_park is a park	1111	06-jul-2018	100.0
telephone_accessories is an item often found in a bathroom	1111	06-jul-2018	99.9
top_10_psp is a consumer electronic device	1111	06-jul-2018	99.9
four_star_rating is a physical action	1111	06-jul-2018	97.3
management is related to education	1114	25-aug-2018	93.8
alex_chilton is a musician who is part of big_star	1115	03-sep-2018	93.8
nine is the number of people killed in the event n1327689011	1116	12-sep-2018	100.0
lake_almanor is a lake in the state or province california	1116	12-sep-2018	100.0
system is a subpart of the body within way_the_brain	1111	06-jul-2018	100.0