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
sliced_fruit is a visualizable thing	1111	06-jul-2018	96.1
jennifer_finnegan is a chef	1111	06-jul-2018	99.9
foreign_language_teacher is a profession	1111	06-jul-2018	95.8
service_e_mail is a visualizable object	1111	06-jul-2018	98.9
coral_florida is a beach	1111	06-jul-2018	100.0
kwhy is a company that has an office in the city glendale	1112	24-jul-2018	99.9
large_herds refers to more than one wildlife	1111	06-jul-2018	100.0
curt_schilling is an athlete who wins world_series	1114	25-aug-2018	100.0
national is a company that has an office in the country germany	1114	25-aug-2018	100.0
arlington_national_cemetery is an attraction that will be fall in city arlington	1116	12-sep-2018	100.0