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
parkas is a kind of clothing	1111	06-jul-2018	91.4
red_collared_mountain_babbler is a bird	1111	06-jul-2018	100.0
giant_deer is an animal	1111	06-jul-2018	95.3
online_drugs is an archaeon	1111	06-jul-2018	95.6
danville_weekly is a newspaper	1111	06-jul-2018	100.0
lazard is a company in the economic sector of investment	1112	24-jul-2018	99.6
modern_dynamic_kidney_exchanges occurrs at the date april_16__2013l	1116	12-sep-2018	100.0
black_pepper is an agricultural product that is usually cooked with lemon	1114	25-aug-2018	100.0
meridia is a drug worked on by abbot_laboratories	1114	25-aug-2018	100.0
the sports leage busch_series uses the venue international_speedway	1114	25-aug-2018	98.4