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
pumpkin_pur_e is a visualizable thing	1111	06-jul-2018	98.2
aid_fees is a machine-learning conference	1111	06-jul-2018	97.1
gmt_anyone is a person	1111	06-jul-2018	99.8
john_hobson is a scientist	1111	06-jul-2018	100.0
culinary_workers_local is a trade union	1111	06-jul-2018	93.3
the sport baseball was played at n1973_world_series	1116	12-sep-2018	100.0
the home stadium of jason_marquis is wrigley_field	1116	12-sep-2018	100.0
rover is a specific automobile maker dealer in _uk	1116	12-sep-2018	100.0
russian is the language of the country cis_states	1112	24-jul-2018	96.9
hilary_clinton is a U.S. politician endorsed by the U.S. politician biden	1112	24-jul-2018	100.0