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
n2004_audi_tt is a model of automobile	1111	06-jul-2018	92.5
ms_project is a research project	1111	06-jul-2018	100.0
boron_trifluoride_ethyl_ether_complex is a chemical	1111	06-jul-2018	100.0
mohair_hair is a personal care product	1111	06-jul-2018	99.5
daryl_sabara is a fashion model	1111	06-jul-2018	100.0
buffalo_evening_news is a company headquartered in the city new_york	1116	12-sep-2018	93.8
states is a state or province located in the geopolitical location nine_countries	1111	06-jul-2018	93.8
display001 looks like receiver	1111	06-jul-2018	93.8
unit is a subpart of hot_water	1111	06-jul-2018	99.2
washington is a company in the economic sector of insurance	1113	15-aug-2018	99.2