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
independent_newspapers_group is an organization	1112	24-jul-2018	99.5
commuter_bikes is a transportation system	1111	06-jul-2018	92.6
_23_00 is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
annette_yen is an Asian person	1111	06-jul-2018	96.3
yuri_lowenthal ia a celebrity	1111	06-jul-2018	98.8
amazon_com has acquired alexa	1114	25-aug-2018	100.0
tubby_smith works for minnesota	1112	24-jul-2018	99.8
national is a bank that bought fortis	1114	25-aug-2018	100.0
drew_bledsoe is an athlete who led new_england_patriots	1116	12-sep-2018	100.0
the coach cal_ripken_jr won the trophy or tournament world_series	1115	03-sep-2018	100.0