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
contact_king_county is a book	1111	06-jul-2018	91.2
wide_layer is a sports team position	1111	06-jul-2018	98.6
they_threw_us_all_in_a_trench_and_stuck_a_mo is a musical album	1111	06-jul-2018	99.9
nancy_nancy_shoes is a kind of clothing	1111	06-jul-2018	100.0
crore_industry is an economic sector	1111	06-jul-2018	90.8
dylan is a hotel in the city new_york	1116	12-sep-2018	99.1
chad_hurley is a person who belongs to the organization youtube	1111	06-jul-2018	100.0
flowers is an agricultural product produced in israel	1114	25-aug-2018	100.0
cloak is a clothing item to go with shirt	1111	06-jul-2018	93.8
henry001 has citizenship in the country saxony	1111	06-jul-2018	91.8