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
paddington_train_station is a skyscraper	1111	06-jul-2018	100.0
zonitidae is an insect	1111	06-jul-2018	100.0
guy_williams ia a celebrity	1111	06-jul-2018	90.3
hung_liu is a visual artist	1111	06-jul-2018	93.0
pam_ball is american	1111	06-jul-2018	91.3
larry_king is a company in the economic sector of news	1114	25-aug-2018	100.0
triangle has shape interior_angles	1112	24-jul-2018	93.8
products is a tool used in the profession traders	1115	03-sep-2018	99.2
juan_abreu plays the sport baseball	1116	12-sep-2018	99.8
jamey_carroll is an athlete that flied out to position center	1111	06-jul-2018	100.0