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
therapeutic_pain is a physiological condition	1111	06-jul-2018	93.9
ama_council is a political organization that is not part of the government	1111	06-jul-2018	100.0
queste_applicazioni is a wine	1111	06-jul-2018	99.6
colds_and_swollen_lymph_nodes is a lymph node	1111	06-jul-2018	99.8
foreign_chemical is an archaeon	1111	06-jul-2018	90.4
metis has husband zeus	1116	12-sep-2018	100.0
maria_sharapova is an athlete who beat kuznetsova	1115	03-sep-2018	100.0
fitness is a sport with fans in the country __america	1116	12-sep-2018	100.0
klaus_meine is a musician who is part of scorpions	1113	15-aug-2018	96.9
joseph_conrad contributed to the creative work the_secret_agent	1111	06-jul-2018	100.0