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
n8_9_percent is a machine-learning algorithm	1111	06-jul-2018	99.5
section_230_ is a legislative bill	1111	06-jul-2018	97.4
condition_software is a tool	1111	06-jul-2018	99.7
ucsd_study is a research project	1111	06-jul-2018	97.7
icvk is a conference	1111	06-jul-2018	98.9
countries is a generalization of u_s_	1116	12-sep-2018	100.0
b_muthuraman works for tata	1112	24-jul-2018	100.0
alden_caldwell died in the state or province florida	1116	12-sep-2018	100.0
president_bill_clinton is a politician who holds the office of president	1116	12-sep-2018	100.0
keith_urban has wife nicole_kidman	1116	12-sep-2018	100.0