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
woodland_areas can be a part of a landscape	1111	06-jul-2018	99.1
mevasseret_zion is a geopolitical entity that is an organization	1111	06-jul-2018	95.2
lassen_peak_winery is a winery	1111	06-jul-2018	100.0
paris_roubaix_juniors is a sports race	1111	06-jul-2018	100.0
valeri_gorbachev is a European person	1111	06-jul-2018	93.0
arnold_schwarzenegger is a U.S. politician who holds the office of california_governor	1116	12-sep-2018	100.0
qwest is a stadium or event venue located in the city seattle	1116	12-sep-2018	99.9
mr__smith is a person who belongs to the organization state_university	1111	06-jul-2018	99.6
spencer is a city located in the state or province indiana	1116	12-sep-2018	99.8
beds is often found in site	1116	12-sep-2018	100.0