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
various_arteries is an artery	1111	06-jul-2018	99.2
two_georgia is a parlour game	1111	06-jul-2018	100.0
lexus_lx570 is a model of automobile	1111	06-jul-2018	100.0
donna_farrell is a professor	1111	06-jul-2018	91.3
chiba_zoological_park is an aquarium	1111	06-jul-2018	100.0
national is a company that has an office in the country panama	1114	25-aug-2018	100.0
shower is often found in baths	1116	12-sep-2018	94.0
j__k__rowling wrote the book harry_potter_series	1111	06-jul-2018	93.8
sky_harbor is an airport in the city downtown_phoenix	1116	12-sep-2018	100.0
newsday is a newspaper in the city new_york	1116	12-sep-2018	100.0