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
bank_group is a bank	1111	06-jul-2018	100.0
the_western_producer is a newspaper	1111	06-jul-2018	96.2
william_mccrea is a journalist	1111	06-jul-2018	100.0
nexium_buy is a product	1111	06-jul-2018	95.7
steering_committee_meeting is a perception action	1111	06-jul-2018	100.0
easyjet is a company that has an office in the city bristol	1112	24-jul-2018	100.0
financial_accounting is an academic program at the university college	1111	06-jul-2018	93.8
european_nations is a generalization of _uk	1116	12-sep-2018	100.0
english is a language used in the university university_of_washington	1115	03-sep-2018	100.0
john_banville wrote the book the_sea	1111	06-jul-2018	93.8