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
n03_45_pm is a time	1111	06-jul-2018	100.0
the_tri_city_ledger is a political blog	1111	06-jul-2018	99.3
pentagon_reporters is a political organization that is not part of the government	1111	06-jul-2018	90.1
muddiness is a physical characteristic	1111	06-jul-2018	100.0
beef_strip_loin is a type of meat	1111	06-jul-2018	99.5
jeep makes the automobile jeep_commander	1114	25-aug-2018	100.0
ksvi is a TV affiliate of the network abc_news	1116	12-sep-2018	93.8
roy_scheider was born in the state or province new_jersey	1116	12-sep-2018	100.0
lungs arises from right_ventricle	1116	12-sep-2018	100.0
english is the language of the country sri_lanka	1116	12-sep-2018	100.0