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
sea_beaches can be a part of a landscape	1111	06-jul-2018	98.7
large_comfortable_rooms is an office building room	1111	06-jul-2018	98.7
condition_engineering is an area of study within the field of machine learning	1111	06-jul-2018	99.9
pike_county is an airport	1111	06-jul-2018	100.0
n15_17_years is a non-disease physiological condition	1111	06-jul-2018	91.7
super_bowl_xliv_the_indianapolis_colts is a sports team that won the super_bowl	1113	15-aug-2018	100.0
gotoh_museum is a museum in the city tokyo	1116	12-sep-2018	100.0
shaquille_oneal is an athlete also known as shaq__o_neal	1116	12-sep-2018	100.0
animals is an animal that preys on snails	1113	15-aug-2018	100.0
president_bill_clinton001 is related to president_bill_clinton	1116	12-sep-2018	100.0