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
oldsmobile_aurora_cars is a model of automobile	1111	06-jul-2018	91.4
bagpipe_tune_highland_cathedral is a place of worship	1111	06-jul-2018	99.9
elizabeth_d__mynatt is an author in the scientific field of machine learning	1111	06-jul-2018	99.9
john_weiss is an architect	1111	06-jul-2018	99.7
low_sugar_granola is a fruit	1111	06-jul-2018	99.2
clyde_haberman is a journalist that writes for the publication new_york_times	1113	15-aug-2018	93.8
charles_schwab is a company in the economic sector of investment	1111	06-jul-2018	94.0
cingular_wireless has acquired bellsouth	1114	25-aug-2018	98.9
chad_mcqueen is related to chad_mcqueen	1116	12-sep-2018	100.0
arena is a building located in the city las_vegas	1116	12-sep-2018	98.4