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
vicente_foods_grocery is a retail store	1111	06-jul-2018	99.6
destin_airport is a transportation system	1111	06-jul-2018	100.0
christ_holy_church_of_deliverance is a religion	1111	06-jul-2018	100.0
republic_day is a country	1111	06-jul-2018	95.9
sea_sport_fishing is a sport	1111	06-jul-2018	96.0
cal_ripken_jr plays the athletic team position player	1115	03-sep-2018	100.0
spiders is a type of arthropods	1111	06-jul-2018	99.1
brewers is a sports team that won the world_series	1112	24-jul-2018	96.9
nuts is an agricultural product produced in __america	1116	12-sep-2018	99.2
olympia is the capital city of the state or province washington	1116	12-sep-2018	100.0