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
the_bank_of_river_oaks is a credit union	1111	06-jul-2018	100.0
kiltimagh is a city	1111	06-jul-2018	99.7
the_dj_kat_show is a TV show	1111	06-jul-2018	100.0
the_execution_of_all_things is a musical album	1111	06-jul-2018	99.9
greylock_federal_credit_union is a bank	1111	06-jul-2018	100.0
salmon is a fish that can be served with the food yogurt in a meal (or dish)	1111	06-jul-2018	100.0
south_east_asia is a synonym for china	1111	06-jul-2018	93.8
white_beans is an agricultural product that is usually cooked with pepper	1112	24-jul-2018	100.0
dodgers is a sports team that won the world_series	1115	03-sep-2018	100.0
sony is related to ps3	1115	03-sep-2018	100.0