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
master_staterooms is a kind of room	1111	06-jul-2018	100.0
n1_3_mi is a parlour game	1111	06-jul-2018	100.0
thalamoporellidae is a mollusk	1111	06-jul-2018	100.0
discourse_computer is an item found on a table	1111	06-jul-2018	99.8
jaguar_xj8_engines is a kind of automobile engine	1111	06-jul-2018	100.0
amazon_com has acquired zappos	1114	25-aug-2018	99.8
peter_d__hart_research_associates is headquartered in the state or province washington	1116	12-sep-2018	100.0
italy is a sports team that plays the sport golf	1116	12-sep-2018	100.0
bed is often found in casita	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with basil	1114	25-aug-2018	100.0