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
morning_sky is a visualizable attribute	1111	06-jul-2018	90.6
joey_votto is a Mexican person	1111	06-jul-2018	100.0
eureka_college is a school	1116	12-sep-2018	100.0
marc_daniels is a director	1111	06-jul-2018	92.0
shippensburg_university_of_pa is a university	1111	06-jul-2018	100.0
delta_farm is a farm in the state or province washington	1116	12-sep-2018	100.0
holy_trinity and mary are family members	1111	06-jul-2018	93.8
swords is a type of weapon produced in china	1111	06-jul-2018	100.0
the sport baseball was played at n1953_world_series	1116	12-sep-2018	100.0
kobe_bryant is a person who has age 30	1116	12-sep-2018	100.0