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
austria_open is an award, championship, or tournament trophy	1111	06-jul-2018	100.0
protein_balls is sports equipment	1111	06-jul-2018	98.5
n21_9 is a performance metric used by machine-learning scientists	1111	06-jul-2018	100.0
dharampur is a geopolitical entity that is an organization	1111	06-jul-2018	94.5
holiday_inn_anaheim is a building	1111	06-jul-2018	96.3
black_pepper is an agricultural product that is usually cooked with lemon	1114	25-aug-2018	100.0
layers is a subpart of water	1111	06-jul-2018	93.8
onion is related to china	1111	06-jul-2018	100.0
shanghai is a city that lies on the river huangpu	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