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
sphingomonas_natatoria is a bacterium	1111	06-jul-2018	100.0
jaguar_xk8_engines is a kind of automobile engine	1111	06-jul-2018	100.0
seeley_lake is a lake	1111	06-jul-2018	100.0
galloway_creek is a river	1111	06-jul-2018	100.0
robert_h__frank is a scientist	1111	06-jul-2018	100.0
dome is an attraction made of concrete	1111	06-jul-2018	100.0
black_pepper is an agricultural product that is usually cooked with dill	1114	25-aug-2018	99.8
partner is a subpart of water	1111	06-jul-2018	96.9
mufi_hannemann is the leader of the city honolulu	1116	12-sep-2018	100.0
bed is often found in one_bed_room	1111	06-jul-2018	100.0