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
smokers_rights is a socio-political term	1111	06-jul-2018	96.5
lcd_alarm_clock_with_calendar is an item often found in a bedroom	1111	06-jul-2018	99.8
opus_prize is a film festival	1111	06-jul-2018	100.0
agco is a biotech company	1111	06-jul-2018	95.7
kennard_road is a highway	1111	06-jul-2018	93.6
lake_barkley is a lake in the state or province kentucky	1116	12-sep-2018	100.0
jeep makes the automobile cherokee	1114	25-aug-2018	100.0
federer is a person who has age nonneginteger:n27	1116	12-sep-2018	100.0
diana has husband charles	1116	12-sep-2018	99.2
european_countries is a generalization of germany	1116	12-sep-2018	100.0