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
robiola_della_val_bormida_cheese is a cheese	1111	06-jul-2018	97.4
creem_magazine is a newspaper	1111	06-jul-2018	100.0
cox_markets is a retail store	1111	06-jul-2018	99.4
general_christianity is a religion	1111	06-jul-2018	100.0
montoliva_vineyard_and_winery is a winery	1111	06-jul-2018	100.0
wcbi is a TV affiliate of the network cbs_evening_news	1116	12-sep-2018	99.2
richt is a person who belongs to the organization uga	1111	06-jul-2018	93.8
the sport baseball was played at n1965_world_series	1116	12-sep-2018	100.0
paul001 graduated from college	1114	25-aug-2018	100.0
public_affairs is an academic program at the university college	1112	24-jul-2018	100.0