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
james_e__carter is a U.S. politician	1111	06-jul-2018	99.9
kcwq_tv is a TV station	1111	06-jul-2018	100.0
international_stores is a retail store	1111	06-jul-2018	99.8
metal_finishing_magazine is a magazine	1111	06-jul-2018	99.9
graub_nden is a geopolitical entity that is an organization	1111	06-jul-2018	94.3
boy_scout_road is a street in the city augusta	1116	12-sep-2018	100.0
hot_water is a beverage that contains ingredients	1111	06-jul-2018	100.0
arnold_schwarzenegger is a U.S. politician who holds the office of california_governor	1116	12-sep-2018	100.0
andre_miller is a person also known as miller002	1116	12-sep-2018	100.0
arts concerns management	1114	25-aug-2018	93.8