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
sexual_assault_charges ia a crime or charge	1111	06-jul-2018	100.0
n3_779 is a dataset used within the scientific field of machine learning	1111	06-jul-2018	91.7
iorio_arena is a stadium or event venue	1111	06-jul-2018	100.0
lucky_balaraman is a journalist	1111	06-jul-2018	91.2
blyth_s_hornbill is a bird	1111	06-jul-2018	100.0
uconn hired geno_auriemma	1111	06-jul-2018	93.8
jada_pinkett_smith has husband smith	1116	12-sep-2018	100.0
system is a subpart of million	1111	06-jul-2018	93.8
national is a bank in central001	1114	25-aug-2018	96.9
the coach chuck_knoblauch won the trophy or tournament division	1115	03-sep-2018	100.0