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
n3_243 is a term used by physicists	1111	06-jul-2018	91.3
wheel_cover is an item often found in a bathroom	1111	06-jul-2018	99.8
legal_committee is a professional organization	1111	06-jul-2018	100.0
masonic_information is a scientific term	1111	06-jul-2018	95.5
thalamoporellidae is a mollusk	1111	06-jul-2018	100.0
france_telecom has acquired orange	1114	25-aug-2018	100.0
golders_green is a park in the city central_london	1116	12-sep-2018	99.6
edward_johnson is a politician who holds the office of secretary	1114	25-aug-2018	99.8
ca is a city also known as san_francisco	1112	24-jul-2018	98.4
kahane was born in nueva_york	1116	12-sep-2018	100.0