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
poker_titan is a sports game	1111	06-jul-2018	100.0
environmental_protection_and_biodiversity_conservation_act is a legislative bill	1111	06-jul-2018	93.8
n8_00_9_00_am is a time	1111	06-jul-2018	100.0
kitchen_rack is a kind of furniture	1111	06-jul-2018	99.6
zhang_cheng is an Asian person	1111	06-jul-2018	100.0
national is a bank that bought dhanalakshmi_bank	1114	25-aug-2018	100.0
daryle_ward plays the sport baseball	1116	12-sep-2018	100.0
yanks is a sports team that won the world_series	1115	03-sep-2018	100.0
oscar is a person who has attended the school college	1111	06-jul-2018	99.2
maria_sharapova is an athlete who beat williams	1114	25-aug-2018	100.0