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
django_bates is a musician	1111	06-jul-2018	93.0
vainqueurs_d__tapes_du_tour_de_luxembourg is a sports race	1111	06-jul-2018	100.0
geneva_motor is an automobile manufacturer	1111	06-jul-2018	98.9
phone_ringtone_samsung_verizon is an item found on a table	1111	06-jul-2018	99.7
taronga_park_zoo is an aquarium	1111	06-jul-2018	100.0
karl_rove is a U.S. politician endorsed by the U.S. politician former_bush	1112	24-jul-2018	100.0
humans is an animal that can develop problems	1112	24-jul-2018	99.2
bulbs is an agricultural product produced in __america	1116	12-sep-2018	100.0
susan died in the location new_south_wales	1116	12-sep-2018	98.6
technology concerns data	1114	25-aug-2018	100.0