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
brown_mackie_college___louisville is a train station	1111	06-jul-2018	100.0
health_research_methodology is a political issue	1111	06-jul-2018	100.0
massachusetts_general_and_brigham is a hospital	1111	06-jul-2018	92.3
ceiling_arched_windows is something found in or on buildings	1111	06-jul-2018	99.4
randy_bradford is a European person	1111	06-jul-2018	91.3
class_d_airports is a generalization of eugene_s_mahlon_sweet__eug_	1112	24-jul-2018	100.0
theresa has spouse mark	1116	12-sep-2018	93.8
eve and eden are family members	1111	06-jul-2018	100.0
apollo has sister artemis	1116	12-sep-2018	100.0
nvidia is a company also known as toshiba	1114	25-aug-2018	93.8