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
brazilian_study is a research project	1111	06-jul-2018	99.4
class_delegates is a machine-learning conference	1111	06-jul-2018	94.9
gennadi_kolesnikov is an astronaut	1111	06-jul-2018	100.0
sammy_davis_jr__plaza is a building	1111	06-jul-2018	93.8
n14_working_days is a visualizable object	1111	06-jul-2018	98.5
merck has acquired schering_plough	1114	25-aug-2018	99.2
applications is a subpart of hot_water	1111	06-jul-2018	93.8
three is the number of people injured in the event blast_hits_bangkok	1116	12-sep-2018	100.0
division is an organization also known as service	1112	24-jul-2018	99.6
nissan is a specific automobile maker dealer in pasadena	1114	25-aug-2018	100.0